Publications and communications of Damien Ernst

Mokeddem, S., Miftari, B., Dachet, V., Derval, G., & Ernst, D. (In press). Distributed e-Fuel Hubs (DEFH): A case study of a Belgian Fischer-Tropsch liquids hub. (Working paper). ORBi-University of Liège. https://orbi.uliege.be/handle/2268/327044.

Vassallo, M.* , Leerschool, A.* , Bahmanyar, A., Duchesne, L., Gerard, S., Wehenkel, T., & Ernst, D. (In press). An Optimization Algorithm for Customer Topological Paths Identification in Electrical Distribution Networks. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/321834.

Buisseret, T., Vangulick, D., Ernst, D., Bahmanyar, A., Duchesne, L., Georges, E., & Avramidis, I.-I. (June 2025). SCOPE project: An innovative market-based solution to deal with injection congestion [Paper presentation]. 28th Conference and Exhibition on Electricity Distribution (CIRED 2025), Geneva, Switzerland.

Gogfraind, A., Leerschool, A., Cornet, M., Perot, L., Bahmanyar, A., Duchesne, L., Gérard, S., Wehenkel, T., & Ernst, D. (June 2025). Estimating Network Topology and Hosting Capacity: A Multi-Level Approach [Paper presentation]. 28th Conference and Exhibition on Electricity Distribution (CIRED 2025), Geneva, Switzerland.

Théate, T., Duchesne, L., Leerschool, A., Bahmanyar, A., Gérard, S., Wehenkel, T., & Ernst, D. (June 2025). Smart meters phase identification for topology verification: Practical challenges and insights from a case study [Paper presentation]. 28th Conference and Exhibition on Electricity Distribution (CIRED 2025), Geneva, Switzerland.

Manjavacas, A., Gómez-Romero, J., Ernst, D., Vázquez-Barroso, M. A., & Martín-Fuertes, F. (May 2025). MELGYM: A dynamic control interface for MELCOR simulations. SoftwareX, 30. doi:10.1016/j.softx.2025.102148

Pirenne, L., & Ernst, D. (2025). Understanding the LLM landscape: An early 2025 overview [Paper presentation]. La révolution de l’IA générative : exemples concrets et perspectives, Liège, Belgium.

Miftari, B., Derval, G., Louveaux, Q., & Ernst, D. (2025). The journey of creating a modelling language [Paper presentation]. 18th INFORMS Computing Society (ICS) Conference, Toronto, Canada.

Dachet, V., & Ernst, D. (2025). Remote Renewable Energy Hub: a concept for improving energy security [Paper presentation]. Working session on decarbonization between the Walloon Parliament (Belgium) and the Parliament of North Rhine Westphalia (Germany), Namur, Belgium.

Ernst, D. (2025). Energy and sustainable development. (ULiège - University of Liège, Belgium).

Kumar Dora, B., Bath, S., Mitra, A., Ernst, D., Halinka, A., Zychma, D., & Sowa, P. (26 February 2025). The Global Electricity Grid: A Comprehensive Review. Energies, 18 (5), 40. doi:10.3390/en18051152

Mbenoun, J., Benzerga, A., Miftari, B., Detienne, G., Deschuyteneer, T., Vazquez, J., Derval, G., & Ernst, D. (2025). Integration of offshore energy into national energy system: a case study on Belgium. Applied Energy. doi:10.1016/j.apenergy.2024.125031

Benzerga, A., Bahmanyar, A., Derval, G., & Ernst, D. (January 2025). A unified definition of hosting capacity, applications and review. IEEE Access, 13, 7819-7836. doi:10.1109/ACCESS.2024.3521223

Dachet, V., & Ernst, D. (2025). Remote renewable energy hubs: a wonderful accelerator of energy transition. Daily Science.

Dachet, V., & Ernst, D. (2025). Les centres d’énergie renouvelable distants : un magnifique accélérateur de la transition énergétique. Daily Science.

Dachet, V., Maio, A., Counotte, P., & Ernst, D. (2025). Remote Renewable Energy Hubs in the High Seas: a Battery-Based Fully-Electric Ecosystem. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/327232.

Derval, G., Miftari, B., Ernst, D., & Louveaux, Q. (2025). Efficient LP warmstarting for linear modifications of the constraint matrix. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/326327.

Lambrechts, G., Ernst, D., & Mahajan, A. (2025). A Theoretical Justification for Asymmetric Actor-Critic Algorithms. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/326874.

Vassallo, M., Benzerga, A., Baymanar, A., Leerschool, A., Duchesne, L., Gerard, S., Vandeburie, J., & Ernst, D. (2025). Phase Reconfiguration for Power Distribution Networks with High DERs Penetration. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/327465.

Dachet, V., Dubois, A., Miftari, B., Fonteneau, R., & Ernst, D. (19 December 2024). Remote Renewable Energy Hubs: a Taxonomy. Energy Reports, 13, 3112-2120. doi:10.1016/j.egyr.2025.02.040

Ernst, D. (2024). Energy market and regulation. (ULiège - University of Liège [Faculty of Applied Sciences], Liège, Belgium).

Ernst, D. (2024). Energy communities - Understanding energy sharing. (ULiège - University of Liège [Faculty of Applied Sciences], Liège, Belgium).

Ernst, D. (2024). La saga de l’île énergétique Princesse Élisabeth : un symbole du dangereux bashing de notre industrie électrique souveraine. La Libre Belgique.

Ernst, D., & de Salle, C. (2024). Les Etats-Unis vont-ils réorienter leur politique étrangère pour conserver leur souveraineté énergétique ? L'Echo.

Boveroux, L., Ernst, D., & Louveaux, Q. (2024). Investigating the Monte-Carlo Tree Search Approach for the Job Shop Scheduling Problem. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/324786.

Ernst, D., & de Salle, C. (2024). Will America reorient its foreign policy to maintain its energy sovereignty? ORBi-University of Liège. https://orbi.uliege.be/handle/2268/324093.

Ernst, D., Louppe, G., & Pirenne, L. (2024). LLMs: generating innovative and effective collaborations in AI [Paper presentation]. NRB AI &c Data Xperience.

Miftari, B., Louveaux, Q., Ernst, D., & Derval, G. (2024). Sensitivity analysis for linear changes of the constraint matrix of a linear program. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/323606.

Ernst, D. (2024). The four-layer decision-making problem for power system operation: How can AI help? [Paper presentation]. ECML-PKDD 2024 Workshop on Machine Learning for Sustainable Power Systems (ML4SPS), Vilnius, Lithuania.

Pirlet, M., Bolland, A., Louppe, G., & Ernst, D. (06 September 2024). Cost Estimation in Unit Commitment Problems Using Simulation-Based Inference [Paper presentation]. NeurIPS workshop: Data-driven and Differentiable Simulations, Surrogates, and Solvers, Vancouver, Canada.

Bahmanyar, A., Duchesne, L., Dekeyne, G., Goubet, C., Gemine, Q., Panciatici, P., & Ernst, D. (September 2024). Identification of the critical cluster of generators by during fault angle trajectory estimation for transient stability analysis. Electric Power Systems Research, 234. doi:10.1016/j.epsr.2024.110733

Ernst, D., & de Salle, C. (2024). Landmark Events in the Energy Sector: Understanding their Effects on International Politics [Paper presentation]. Conference given in many places.

Lambrechts, G., Bolland, A., & Ernst, D. (August 2024). Informed POMDP: Leveraging Additional Information in Model-Based RL [Paper presentation]. Reinforcement Learning Conference, Amherst, United States - Massachusetts.

Kadoche, E., Bianchi, P., Carton, F., Ciblat, P., & Ernst, D. (24 July 2024). On the importance of wind predictions in wake steering optimization. Wind Energy Science, 9, 1577–1594. doi:10.5194/wes-9-1577-2024

Derval, G., Miftari, B., Ernst, D., & Louveaux, Q. (02 July 2024). Efficient exact recomputation of linear modifications of the constraints matrix in Linear Programming [Paper presentation]. EURO 2024.

Lambrechts, G.* , Claes, Y.* , Geurts, P., & Ernst, D. (July 2024). Parallelizing Autoregressive Generation with Variational State Space Models [Paper presentation]. ICML Workshop on Next Generation of Sequence Modeling Architectures, Vienne, Austria.

Louette, A., Lambrechts, G., Ernst, D., Pirard, E., & Dislaire, G. (2024). Reinforcement learning to improve delta robot throws for sorting scrap metal. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/319923.

Pirenne, L., Mokeddem, S., & Ernst, D. (10 June 2024). Sentence-Level Rationale Extraction Methods Large For Closed-domain Question Answering Explainability [Poster presentation]. Belgium-Netherlands workshop on Reinforcement Learning (BeNeRL) 2024, Amsterdam, Netherlands.

Vangulick, D., Bahmanyar, A., & Ernst, D. (2024). A Practical Approach for Optimal Placement of Measurement Devices in Electrical Distribution Systems with Active Network Management Considerations. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/320867.

Ernst, D., Jordaens, P.-J., Monballieu, J., & Vermeylen, A. (2024). La Belgique peut gagner son indépendance énergétique en haute mer. L'Echo.

Dachet, V., Lokotar, I., & Ernst, D. (2024). Les Centres d’Énergie Renouvelable Distants (CERD). Une opportunité de leadership que l’Europe doit saisir. Confrontations Europe.

De Geeter, F., Ernst, D., & Drion, G. (15 May 2024). Spike-based computation using classical recurrent neural networks. Neuromorphic Computing and Engineering, 4 (2), 024007. doi:10.1088/2634-4386/ad473b

Dachet, V., Lokotar, I., & Ernst, D. (2024). Remote Renewable Energy Hubs: A Leadership Opportunity that Europe Must Seize. Confrontations Europe.

Ernst, D. (2024). Mix Électrique Renouvelable + Nucléaire : 10 Actions pour la Réussite [Paper presentation]. Solar Xpo.

Boveroux, L., Louveaux, Q., & Ernst, D. (22 April 2024). Investigating Monte-Carlo Tree Search Approach for the Job Shop Scheduling Problem [Paper presentation]. 24th edition of the Belgian Mathematical Optimization Workshop, La Roche-en-Ardennes, Belgium.

Vassallo, M., Bahmanyar, A., Duchesne, L., Leerschool, A., Gerard, S., Wehenkel, T., & Ernst, D. (April 2024). A Systematic Procedure for Topological Path Identification with Raw Data Transformation in Electrical Distribution Networks [Paper presentation]. 7th International Conference on Energy, Electrical and Power Engineering (CEEPE 2024), Yangzhou, China. doi:10.1109/CEEPE62022.2024.10586328

Ernst, D. (2024). Modern aviation: Taking off towards a new carbon-neutral technological era [Paper presentation]. Orizio event: A Century of Belgian Aviation.

Fonder, M., Counotte, P., Dachet, V., de Séjournet, J., & Ernst, D. (15 March 2024). Synthetic methane for closing the carbon loop: Comparative study of three carbon sources for remote carbon-neutral fuel synthetization. Applied Energy, 358. doi:10.1016/j.apenergy.2023.122606

Boveroux, L., Ernst, D., & Louveaux, Q. (08 February 2024). A comparative study of methods for solving the large flexible assembly job shop scheduling problems [Paper presentation]. Orbel 38.

Miftari, B., Derval, G., Louveaux, Q., & Ernst, D. (08 February 2024). Parametric upper and lower bounds of linear variations of a linear problem’s LHS [Paper presentation]. ORBEL 38, Anvers, Belgium.

Ernst, D. (2024). Un momentum pour des frappes ukrainiennes massives contre l'industrie pétrolière russe est arrivé. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/312421.

Ernst, D., & de Salle, C. (2024). Le pétrole, nerf de la guerre en Ukraine. Le Monde.

Ernst, D., & de Salle, C. (2024). A momentum for Ukrainian strikes against the Russian oil industry has arrived. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/312439.

Aittahar, S., Bolland, A., Derval, G., & Ernst, D. (2024). Optimal control of renewable energy communities subject to network peak fees with model predictive control and reinforcement learning algorithms. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/312776.

Rahimipour Behbahani, M., Jalilian, A., Bahmanyar, A., & Ernst, D. (08 January 2024). Comprehensive Review on Static and Dynamic Distribution Network Reconfiguration Methodologies. IEEE Access, 12, 9510-9525. doi:10.1109/ACCESS.2024.3350207

Benzerga, A., Vassallo, M., Gerard, S., Vandeburie, J., & Ernst, D. (2024). Combined PV-EV-HP Hosting Capacity Analysis of a Belgian Low-Voltage Distribution Network [Paper presentation]. 2024 IEEE 34th Australasian Universities Power Engineering Conference (AUPEC).

Bolland, A., Lambrechts, G., & Ernst, D. (2024). Off-Policy Maximum Entropy RL with Future State and Action Visitation Measures. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/325301.

Bolland, A., Lambrechts, G., & Ernst, D. (2024). Behind the Myth of Exploration in Policy Gradients. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/312658.

Dachet, V., Benzerga, A., Coppitters, D., Contino, F., Fonteneau, R., & Ernst, D. (2024). Towards CO2 valorization in a multi remote renewable energy hub framework with uncertainty quantification. Journal of Environmental Management, 363, 121262. doi:10.1016/j.jenvman.2024.121262

Dauchat, L.* , Dachet, V.* , Fonteneau, R., & Ernst, D. (2024). Waste Heat Recovery in Remote Renewable Energy Hubs [Paper presentation]. Proceedings of ECOS 2024 - The 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, Rhodes, Greece.

de Salle, C., & Ernst, D. (2024). Transition écologique : "L'impératif, c'est la prospérité, pas la sobriété". L'Express.

Ecike Ewanga, D., & Ernst, D. (2024). Decision making and risk aversion under uncertainty in energy renewable and operational of flexibility of distribution system network. Energy Proceedings, 36. doi:10.46855/energy-proceedings-11183

Miftari, B., Derval, G., Louveaux, Q., & Ernst, D. (2024). Sensitivity analysis for linear changes of the constraint matrix of a linear program [Paper presentation]. Euro 2024, Copenhague, Denmark.

Pirenne, L.* , Mokeddem, S.* , Ernst, D., & Louppe, G. (2024). Exploration of Closed-Domain Question Answering Explainability Methods With a Sentence-Level Rationale Dataset. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/322654.

Ernst, D. (2023). Harvesting wind energy in Greenland and exporting it as electricity or energy-rich molecules [Paper presentation]. Agoria & Sirris: Nocturne Nordics & Baltics, Antwerp, Belgium.

Ernst, D., & Sutera, A. (2023). Rethinking electricity retail contracts for leveraging flexibility [Paper presentation]. Workshop on Electrical Load Flexibility in Retail by KBVE-SRBE, Brussels, Belgium.

Leroy, P., Morato, P. G., Pisane, J., Kolios, A., & Ernst, D. (2023). IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL. Advances in Neural Information Processing Systems.

Dubois, A., Dumas, J., Thiran, P., Limpens, G., & Ernst, D. (15 November 2023). Multi-objective near-optimal necessary conditions for multi-sectoral planning. Applied Energy, 350.

Ernst, D. (2023). Generation 2 Platforms for Retailers: an important tool for integrating electric vehicles into our energy systems [Paper presentation]. E mobility seminar, Brussels, Belgium.

Sutera, A., & Ernst, D. (2023). Advanced platforms for electricity retailers. (ULiège - University of Liège, Liège, Belgium, Energy markets and regulation).

Bolland, A., Louppe, G., & Ernst, D. (2023). Policy Gradient Algorithms Implicitly Optimize by Continuation. Transactions on Machine Learning Research.

Dachet, V., Miftari, B., Colin, J., & Ernst, D. (2023). Remote Renewable Energy Hubs (v2) [Paper presentation]. Invited talk at DTU, Department of Wind and Energy Systems, Copenhague, Denmark.

Dachet, V., Miftari, B., Derval, G., & Ernst, D. (2023). Hydrogen as the basis of Remote Renewable Energy Hubs [Paper presentation]. Club Industrie-Université 22/09/23.

Miftari, B., Berger, M., Derval, G., Louveaux, Q., & Ernst, D. (2023). GBOML: A Structure-exploiting Optimization Modelling Language in Python. Optimization Methods and Software. doi:10.1080/10556788.2023.2246169

Lambrechts, G.* , De Geeter, F.* , Vecoven, N.* , Ernst, D., & Drion, G. (August 2023). Warming up recurrent neural networks to maximise reachable multistability greatly improves learning. Neural Networks, 166, 645-669. doi:10.1016/j.neunet.2023.07.023

Miftari, B., Derval, G., Berger, M., & Ernst, D. (13 July 2023). GBOML: A modelling tool for structured MILPs [Paper presentation]. The 23rd Conference of the International Federation of Operational Research Societies, Santiago, Chile.

Miftari, B., Derval, G., & Ernst, D. (2023). Sizing and Operations of Energy Systems Using GBOML [Paper presentation]. Company meetings.

Pavella, M., Wehenkel, L., & Ernst, D. (2023). Power Systems Operation and Control: Contributions of the Liège Group, 1970–2000. In J. S. Tietjen, M. D. Ilic, L. Bertlin Tjernberg, ... N. N. Schulz, Women in Power (pp. 247–263). Springer.

Théate, T., & Ernst, D. (30 June 2023). Risk-Sensitive Policy with Distributional Reinforcement Learning. Algorithms, 16 (325), 16. doi:10.3390/a16070325

Ernst, D., & Fonteneau, R. (2023). Patrimoine Religieux et Transition Energétique [Paper presentation]. Journée d’étude « Le Patrimoine religieux liégeois dans tous ses états », Liège, Belgium.

Bolland, A., Louppe, G., & Ernst, D. (19 June 2023). Policy Gradient Algorithms Implicitly Optimize by Continuation [Poster presentation]. ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, Honolulu, United States - Hawaii.

Miftari, B., Berger, M., Derval, G., & Ernst, D. (2023). Exploiting structure in MILP: a modeler’s perspective [Paper presentation]. SIAM OP23, Seattle, United States.

Benzerga, A., & Ernst, D. (June 2023). Hosting capacity identification and optimization for low-voltage distribution networks [Poster presentation]. DTU PES Summer School - Future Energy Systems: Advances in OR and AI, Copenhague, Denmark.

Mattheus, B., & Ernst, D. (2023). Le partage d’énergie au sein des copropriétés [Paper presentation]. Réunion de copropriété de l'immeuble Athéna, Liège, Belgium.

Vangulick, D., Escalona Coronel, S. J., & Ernst, D. (June 2023). Distributed ledger technology for monitoring operations carried out on the embedded generation units [Paper presentation]. 27th International Conference on Electricity Distribution, Rome, Italy.

Ernst, D. (2023). La politisation de la Boucle du Hainaut compromet l’avenir de la province, du pays et du climat. L'Echo.

Théate, T., Wehenkel, A., Bolland, A., Louppe, G., & Ernst, D. (14 May 2023). Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks. Neurocomputing, 534, 199-219. doi:10.1016/j.neucom.2023.02.049

Boukas, I., Burtin, E., Sutera, A., Gemine, Q., Pevee, B., & Ernst, D. (2023). Exploiting the flexibility potential of water distribution networks: A pilot project in Belgium. IEEE Transactions on Smart Grid. doi:10.1109/TSG.2023.3272469

Dachet, V., Collin, J., & Ernst, D. (2023). Remote Renewable Energy Hubs [Paper presentation]. Total Energies Town Hall, Paris, France.

Ernst, D. (2023). Patrimoine et transition énergétique [Paper presentation]. Patrimoine et Energie, Liège, Belgium.

Miftari, B., Derval, G., & Ernst, D. (2023). Tutorial: “An Introduction To Sizing And Operations of Energy Systems with GBOML” [Paper presentation]. 2nd International workshop on "Open Source Modeling and Simulation of Energy Systems" OSMSES 2023, Aachen, Germany.

Dachet, V., Benzerga, A., Fonteneau, R., & Ernst, D. (17 March 2023). Towards CO2 valorization in a multi remote renewable energy hub framework [Paper presentation]. Proceedings of ECOS 2023 - The 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, Las Palmas, Spain. doi:10.52202/069564-0172

Aittahar, S., Manuel de Villena Millan, M., Derval, G., Castronovo, M., Boukas, I., Gemine, Q., & Ernst, D. (2023). Optimal Control of Renewable Energy Communities with Controllable Assets. Frontiers in Energy Research. doi:10.3389/fenrg.2023.879041

Miftari, B., Derval, G., & Ernst, D. (2023). Optimal Sizing and Operations Of Energy Systems Using GBOML.

Ernst, D. (2023). Contexte d’une crise annoncée. Quelles perspectives pour l’Europe, la Belgique et ses régions ? Quelles alternatives pour les entreprises et les citoyens ? [Paper presentation]. ½ journée de formation continuée FEMARBEL “Les maisons de repos face à la crise de l’énergie”, Nivelles, Belgium.

Benzerga, A., Bahmanyar, A., Ernst, D., & Mathieu, S. (2023). Smart Meter Data Analytics Case Study: Identification of LV Distribution Network Topology to Design Optimal Planning Solutions. In Neelu Nagpal, Hassan Haes Alhelou, Pierluigi Siano, Sanjeevikumar Padmanaban, ... D. Lakshmi, Applications of Big Data and Artificial Intelligence in Smart Energy Systems (pp. 161 - 192). Denmark: IEEE River Publishers.

Derval, G., & Ernst, D. (2023). Symbolism for modelling, reformulations, and parallelism: MaxiCP-Modelling [Paper presentation]. ModRef 2023, Canada.

Dubois, A., & Ernst, D. (2023). Impacts of spatial and temporal resolutions on the near-optimal spaces of energy system optimisation models [Paper presentation]. ISGT.

Ernst, D. (2023). Crise énergétique : et l’après [Paper presentation]. Conférence donnée dans de multiples endroits, Belgium.

Larbanois, A.* , Dachet, V.* , Dubois, A., Fonteneau, R., & Ernst, D. (2023). Ammonia, Methane, Hydrogen and Methanol Produced in Remote Renewable Energy Hubs: a Comparative Quantitative Analysis [Paper presentation]. Proceedings of ECOS 2024 - The 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, Rhodes, Greece.

Théate, T., Sutera, A., & Ernst, D. (January 2023). Matching of everyday power supply and demand with dynamic pricing: Problem formalisation and conceptual analysis. Energy Reports, 9, 2453-2462. doi:10.1016/j.egyr.2023.01.040

Vassallo, M., Benzerga, A., Bahmanyar, A., & Ernst, D. (2023). Fair Reinforcement Learning Algorithm for PV Active Control in LV Distribution Networks [Paper presentation]. ICCEP 2023 conference, Palermo, Italy. doi:10.1109/ICCEP57914.2023.10247485

Fonder, M., Ernst, D., & Van Droogenbroeck, M. (01 December 2022). Parallax Inference for Robust Temporal Monocular Depth Estimation in Unstructured Environments. Sensors, 22 (23), 1-22. doi:10.3390/s22239374

Leroy, P., Jonathan Pisane, & Ernst, D. (18 November 2022). Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition [Paper presentation]. Deep Reinforcement Learning Workshop, NeurIPS.

Ernst, D., & François, R. (2022). Transition énergétique : une immense erreur se produit sous nos yeux en sous-finançant les réseaux de distribution". Trends-Tendances.

Dubois, A., & Ernst, D. (October 2022). Computing Necessary Conditions for Near-Optimality in Capacity Expansion Planning Problems. Electric Power Systems Research, 211. doi:10.1016/j.epsr.2022.108343

Bouffioux, M., & Ernst, D. (2022). Damien Ernst "Le boulot de ministre de l'énergie ne me déplairait pas". Paris Match Belgique.

Lambrechts, G., Bolland, A., & Ernst, D. (September 2022). Belief states of POMDPs and internal states of recurrent RL agents: an empirical analysis of their mutual information [Paper presentation]. European Workshop on Reinforcement Learning, Milan, Italy.

Lambin, C., Fettweis, X., Kittel, C., Fonder, M., & Ernst, D. (2022). Assessment of future wind speed and wind power changes over South Greenland using the MAR regional climate model. International Journal of Climatology. doi:10.1002/joc.7795

Devillers, S., & Ernst, D. (2022). Le vent du Groenland pour produire l’électricité européenne ? La Libre Belgique.

Gochel, L., & Ernst, D. (2022). Le projet de milliers d’éoliennes au Groenland de l’université de Liège validé scientifiquement. La Meuse.

Lambrechts, G., Bolland, A., & Ernst, D. (2022). Recurrent networks, hidden states and beliefs in partially observable environments. Transactions on Machine Learning Research.

Benzerga, A., Bahmanyar, A., & Ernst, D. (2022). Optimal Connection Phase Selection of Residential Distributed Energy Resources and its Impact on Aggregated Demand. In Proceedings of the 11TH BULK POWER SYSTEMS DYNAMICS AND CONTROL SYMPOSIUM (IREP 2022). IREP.

Benzerga, A., Gérard, S., Lachi, S., Garnier, Q., Bahmanyar, A., & Ernst, D. (2022). Optimal connection phase selection for single-phase electrical vehicle chargers. In Proceedings of the 2022 CIRED workshop on E-mobility and power distribution systems. CIRED. doi:10.1049/icp.2022.0759

Ernst, D. (2022). Enseignement et économie : quelques points de réflexion [Paper presentation]. Parlement des animateurs du MCC. Thématique du jour : La relation entre enseignement et industrie, Bastogne, Belgium.

Ernst, D. (2022). Active Network Management Schemes to Facilitate the Integration of Renewables and New Loads into Distribution Networks [Paper presentation]. SRBE Study Day: Power Network Digitalization Impacts on Protection, Automation and Control.

Lambin, C., Fettweis, X., Kittel, C., Fonder, M., & Ernst, D. (25 May 2022). Long term wind speed and wind power change analysis over South Greenland using the regional climate model MAR [Paper presentation]. EGU 2022.

Berger, M., Radu, D., & Ernst, D. (2022). On the role of resource complementarity in siting renewable power plants and its impact on power system design and economics. In J. Jurasz & A. Beluco, Complementarity of Variable Renewable Energy Sources (pp. 171-195). Academic Press. doi:10.1016/B978-0-323-85527-3.00021-2

Miftari, B., Berger, M., & Ernst, D. (2022). Graph-Based Optimization Modeling Language (GBOML) [Paper presentation]. Meeting with TotalEnergies.

Miftari, B.* , Berger, M.* , Djelassi, H., & Ernst, D. (2022). GBOML: Graph-Based Optimization Modeling Language. Journal of Open Source Software.

Bolland, A., Boukas, I., Berger, M., & Ernst, D. (January 2022). Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent. Journal of Artificial Intelligence Research, 73, 117-171. doi:10.1613/JAIR.1.13350

De Villena, M. M., Aittahar, S., Mathieu, S., Boukas, I., Vermeulen, E., & Ernst, D. (2022). Allocation of locally generated electricity in renewable energy communities. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/250878.

Manuel De Villena, M., Aittahar, S., Mathieu, S., Boukas, I., Vermeulen, E., & Ernst, D. (2022). Financial Optimization of Renewable Energy Communities Through Optimal Allocation of Locally Generated Electricity. IEEE Access, 10, 77571 - 77586. doi:10.1109/ACCESS.2022.3191804

Merchie, F., & Ernst, D. (2022). Churn prediction in online gambling. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/266886.

Ernst, D. (2021). REMI - Réseaux Électriques Mondialement Interconnectés.

Ernst, D. (2021). Elements of concern regarding a total nuclear phase-out in 2025 in Belgium.

Bahmanyar, A., Ernst, D., Vanaubel, Y., Gemine, Q., Pache, C., & Panciatici, P. (03 November 2021). Extended Equal Area Criterion Revisited: a direct method for fast transient stability analysis. Energies, 14 (21). doi:10.3390/en14217259

Ernst, D. (2021). Reinforcement learning for electrical markets and the energy transition [Paper presentation]. AI Conference: 2 days dedicated to Artificial Intelligence, Paris, France.

Ernst, D. (2021). Competition models for the electrical industry and electrical markets.

Marulli, D., Mathieu, S., Benzerga, A., Sutera, A., & Ernst, D. (2021). Reconstruction of low-voltage networks with limited observability. In IEEE PES Innovative Smart Grid Technologies Conference Europe. doi:10.1109/ISGTEurope52324.2021.9640163

Counasse, X., July, B., Gil, S., Léonard, G., Orban, F., Ernst, D., & Bonhomme, V. (2021). Un projet d'usine wallonne de kérosène neutre en carbone. Belgium: Le Soir +.

Henry, R., & Ernst, D. (September 2021). GYM-ANM: Reinforcement learning environments for active network management tasks in electricity distribution systems. Energy and AI, 5. doi:10.1016/j.egyai.2021.100092

Benzerga, A., Mathieu, S., Bahmanyar, A., & Ernst, D. (2021). Probabilistic capacity assessment for three-phase low-voltage distribution networks. In Proceeding of the IEEE 15th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG). IEEE. doi:10.1109/CPE-POWERENG50821.2021.9501226

Berger, M., Radu, D.-C., Dubois, A., Pandzic, H., Dvorkin, Y., Louveaux, Q., & Ernst, D. (2021). Siting Renewable Power Generation Assets with Combinatorial Optimisation. Optimization Letters. doi:10.1007/s11590-021-01795-0

Boukas, I., Ernst, D., Théate, T., Bolland, A., Huynen, A., Buchwald, M., Wynants, C., & Cornélusse, B. (2021). A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding. Machine Learning. doi:10.1007/s10994-021-06020-8

Vecoven, N., Ernst, D., & Drion, G. (08 June 2021). A bio-inspired bistable recurrent cell allows for long-lasting memory. PLoS ONE, 16 (6), 1-13. doi:10.1371/journal.pone.0252676

Benzerga, A., Maruli, D., Sutera, A., Bahmanyar, A., Mathieu, S., & Ernst, D. (2021). Low-voltage network topology and impedance identification using smart meter measurements. In Proceedings of the 2021 IEEE Madrid PowerTech. doi:10.1109/PowerTech46648.2021.9495093

Berger, M., Radu, D.-C., Detienne, G., Deschuyteneer, T., Richel, A., & Ernst, D. (2021). Remote Renewable Hubs for Carbon-Neutral Synthetic Fuel Production. Frontiers in Energy Research. doi:10.3389/fenrg.2021.671279

Henry, R., & Ernst, D. (June 2021). Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education. Software Impacts, 9. doi:10.1016/j.simpa.2021.100092

Radu, D.-C., Dubois, A., Berger, M., & Ernst, D. (2021). Model Reduction in Capacity Expansion Planning Problems via Renewable Generation Site Selection. In Proceedings of the 2021 IEEE Madrid PowerTech. doi:10.1109/PowerTech46648.2021.9495027

Vangulick, D., Manuel de Villena Millan, M., Fonteneau, R., & Ernst, D. (2021). Residential Energy Communities: How to minimize the investment risk from an investor perspective. In Proceedings of the CIRED 2021 Conference.

Goffin, P., El Mokhtari, Y., & Ernst, D. (2021). Le rendez-vous manqué de la Wallonie avec les communautés d’énergie renouvelable. L'Echo.

Mocanu, D. C., Mocanu, E., Pinto, T., Curci, S., Nguyen, P., Gibescu, M., Ernst, D., & Vale, Z. (2021). Sparse Training Theory for Scalable and Efficient Agents. In Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems - Blue Sky Ideas Track.

Manuel de Villena Millan, M., Aittahar, S., Gemine, Q., & Ernst, D. (2021). Algorithms for the control and sizing of renewable energy communities.

Ernst, D. (2021). Communauté d’Energie Renouvelable (CER): un bref regard sur l’état d’avancement de la législation [Paper presentation]. Atelier sur les micro-réseaux et les communautés d’énergie renouvelable de la Province de Liège, Liege, Belgium.

Ernst, D. (2021). Harvesting wind energy in Greenland: a huge step towards the building a global electrical grid [Paper presentation]. Stanford Decarbonizing the Grid Workshop: The Role of Grid Interconnection.

Manuel de Villena Millan, M., Gautier, A., Ernst, D., Glavic, M., & Fonteneau, R. (March 2021). Modelling and Assessing the Impact of the DSO Remuneration Strategy on its Interaction with Electricity Users. International Journal of Electrical Power and Energy Systems, 126 (Part A), 106585. doi:10.1016/j.ijepes.2020.106585

Leroy, P., Ernst, D., Geurts, P., Louppe, G., Pisane, J., & Sabatelli, M. (2021). QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning. In Proceedings of the AAAI-21 Workshop on Reinforcement Learning in Games (pp. 8).

Berger, M., Bolland, A., Miftari, B., Djelassi, H., & Ernst, D. (2021). Graph-Based Optimization Modeling Language: A Tutorial. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/256705.

Manuel de Villena Millan, M., Jacqmin, J., Fonteneau, R., Gautier, A., & Ernst, D. (2021). Network tariffs and the integration of prosumers: the Case of Wallonia. Energy Policy, 150. doi:10.1016/j.enpol.2020.112065

Radu, D.-C., Berger, M., Dubois, A., Fonteneau, R., Pandzic, H., Dvorkin, Y., Louveaux, Q., & Ernst, D. (2021). Assessing the Impact of Offshore Wind Siting Strategies on the Design of the European Power System. Applied Energy, 305. doi:10.1016/j.apenergy.2021.117700

Théate, T., & Ernst, D. (2021). An Application of Deep Reinforcement Learning to Algorithmic Trading. Expert Systems with Applications, 173. doi:10.1016/j.eswa.2021.114632

Théate, T., Mathieu, S., & Ernst, D. (December 2020). An Artificial Intelligence Solution for Electricity Procurement in Forward Markets. Energies, 13 (23). doi:10.3390/en13236435

Ernst, D. (2020). AI for energy: a bright and uncertain future ahead [Paper presentation]. AI4Energy - Kickoff meeting, Belgium.

Ernst, D., Fettweis, X., Fonder, M., & Louis, J. (2020). Extreme engineering for fighting climate change and the Katabata project.

Bahmanyar, A., Abouzar, E., & Ernst, D. (October 2020). The impact of different COVID-19 containment measures on electricity consumption in Europe. Energy Research and Social Science, 68. doi:10.1016/j.erss.2020.101683

Ernst, D. (2020). Projet MeryGrid. Contrôle centralisé de communautés à énergies renouvelables avec batterie (CER) [Paper presentation]. Réunion technique du projet Merygrid 2, Liège, Belgium.

Theunis, L., & Ernst, D. (2020). Les e-fuels, des carburants dans le vent. Daily Science.

Aittahar, S., Manuel de Villena Millan, M., Ernst, D., & Gemine, Q. (2020). Ex-post allocation of electricity and real-time control strategy for renewable energy communities [Paper presentation]. 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS 2020), Liège, Belgium.

Manuel de Villena Millan, M., Boukas, I., Mathieu, S., Ernst, D., & Vermeulen, E. (2020). A Framework to Integrate Flexibility Bids into Energy Communities to Improve Self-Consumption. In 2020 IEEE PES General Meeting. IEEE. doi:10.1109/PESGM41954.2020.9282036

Mathieu, S., Ernst, D., & Gemine, Q. (2020). Short-term active distribution network operation under uncertainty. In Proceeedings of the16th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS 2020) (pp. 6).

Berger, M., Radu, D.-C., Ryszka, K., Ernst, D., Fonteneau, R., Detienne, G., & Deschuyteneer, T. (2020). The Role of Hydrogen in the Dutch Electricity System. https://orbi.uliege.be/handle/2268/248904

De Salle, C., & Ernst, D. (2020). Comment le système politique chinois a favorisé la pandémie. Le Point.

Berger, M., Radu, D.-C., Fonteneau, R., Deschuyteneer, T., Detienne, G., & Ernst, D. (March 2020). The Role of Power-to-Gas and Carbon Capture Technologies in Cross-Sector Decarbonisation Strategies. Electric Power Systems Research, 180. doi:10.1016/j.epsr.2019.106039

Ernst, D. (2020). La transition énergétique peut réunir tous les Belges. L'Echo.

Berger, M., Radu, D.-C., Fonteneau, R., Henry, R., Glavic, M., Fettweis, X., Le Du, M., Panciatici, P., Balea, L., & Ernst, D. (05 February 2020). Critical Time Windows for Renewable Resource Complementarity Assessment. Energy, 198. doi:10.1016/j.energy.2020.117308

Sootla, A., Stan, G.-B., & Ernst, D. (2020). Solving Optimal Control Problems for Monotone Systems Using the Koopman Operator. In A. Mauroy, I. Mezic, ... Y. Susuki, The Koopman Operator in Systems and Control (pp. 335-357). Springer. doi:10.1007/978-3-030-35713-9_11

Vecoven, N., Ernst, D., Wehenkel, A., & Drion, G. (2020). Introducing neuromodulation in deep neural networks to learn adaptive behaviours. PLoS ONE. doi:10.1371/journal.pone.0227922

Lahaye, C., & Ernst, D. (2020). Les voitures électriques bientôt majoritaires. Paris Match Belgique, p. 88-89.

Aittahar, S., Fonteneau, R., & Ernst, D. (2020). Empirical Analysis of Policy Gradient Algorithms where Starting States are Sampled accordingly to Most Frequently Visited States. IFAC-PapersOnLine, 53 (2), 8097–8104. doi:10.1016/j.ifacol.2020.12.2279

Ernst, D. (2020). Big infrastructures for fighting climate change [Paper presentation]. IPFA Europe: Brussels: Infrastructure Investments in Belgium – Focus on Brussels and Wallonia, Belgium.

Ernst, D., & Fonteneau, R. (2020). The Smart Grids lab at the University of Liège [Paper presentation]. Exchange program on renewables energies between the Walloon Parliament and US senators and deputies in the framework of the National Conference of States Legislature, Namur, Belgium.

Vecoven, N., Ernst, D., Wehenkel, A., & Drion, G. (2019). Cellular neuromodulation in artificial networks. In Proceedings of the NeurIPS 2019 Workshop Neuro AI.

Ernst, D. (2019). Nuclear: the dreaming reality.

Yu, J., Bakic, K., Kumar, A., Iliceto, A., Beleke Tabu, L., Ruaud, J. L., Fan, J., Cova, B., Li, H., Ernst, D., Fonteneau, R., Theku, M., Sanchis, G., Chamollet, M., Le Du, M., Zhang, Y., Chatzivasileiadis, S., Radu, D.-C., Berger, M., ... Ranjbar, M. (2019). Global electricity network - Feasibility study. https://orbi.uliege.be/handle/2268/239969

de Salle, C., & Ernst, D. (2019). Greta Thunberg ou l'inacessible sainteté climatique. Le Monde.

Ernst, D. (2019). Round Table No 3. Industrial Solutions for Active Network Management [Paper presentation]. CIRED 2019, Madrid, Spain.

Mathieu, S., Manuel de Villena Millan, M., Vermeulen, E., & Ernst, D. (2019). Harnessing the flexibility of energy management systems: a retailer perspective. In Proceedings PowerTech 2019. doi:10.1109/PTC.2019.8810813

Radu, D.-C., Berger, M., Fonteneau, R., Hardy, S., Fettweis, X., Le Du, M., Panciatici, P., Balea, L., & Ernst, D. (15 May 2019). Complementarity Assessment of South Greenland Katabatic Flows and West Europe Wind Regimes. Energy, 175, 393-401. doi:10.1016/j.energy.2019.03.048

Ernst, D. (2019). Eléments pour une vision techno-optimiste de l’écologie [Paper presentation]. Les enjeux climatiques et énergétiques, Liège, Belgium.

de Salle, C., & Ernst, D. (2019). Sortir du pessimisme écologique. Réponse aux 400 ingénieurs. Le Vif. L'Express.

François-Lavet, V., Rabusseau, G., Pineau, J., Ernst, D., & Fonteneau, R. (May 2019). On overfitting and asymptotic bias in batch reinforcement learning with partial observability. Journal of Artificial Intelligence Research, 65, 1-30. doi:10.1613/jair.1.11478

de Salle, C., & Ernst, D. (2019). L’écologie authentique, stade avancé de la civilisation technologique. La Libre Belgique.

Wolff, G., & Ernst, D. (2019). Damien Ernst: "La technologie sauvera la planète". La Meuse.

de Salle, C., & Ernst, D. (2019). Authentic ecology as an advanced stage of technological civilization. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/234542.

Vangulick, D., Cornélusse, B., & Ernst, D. (2019). Blockchain: A novel approach for the consensus algorithm using Condorcet Voting procedure. In Proceedings of the IEEE International Conference on Decentralized Applications and Infrastructures. doi:10.1109/DAPPCON.2019.00011

Ernst, D. (2019). Harvesting wind energy in Greenland: a project for Europe and a huge step towards the building a global electrical grid.

Ernst, D. (2019). Voiture électrique : 697.612 km pour devenir verte ! Vrai ou faux ? ORBi-University of Liège. https://orbi.uliege.be/handle/2268/233554.

Ernst, D. (2019). Electric car: 697,612 km to become green! True or false? ORBi-University of Liège. https://orbi.uliege.be/handle/2268/233555.

Ernst, D. (2019). Décret favorisant le développement des communautés d’énergie renouvelable [Paper presentation]. Transition énergétique : Consommateurs et réseaux, Liège, Belgium.

Ernst, D., Berger, M., Fonteneau, R., & Radu, D.-C. (2019). Harnessing the Potential of Power-to-Gas Technologies. Insights from a preliminary analysis focused on Belgium.

Ernst, D., & Fonteneau, R. (2019). Un réseau électrique mondial et basé sur les renouvelables, ce n’est plus de la science-fiction. The Conversation.

Manuel de Villena Millan, M., Fonteneau, R., & Ernst, D. (2019). Tariff simulator [Paper presentation]. Transition énergétique : Consommateurs et réseaux, Liège, Belgium.

Manuel de Villena Millan, M., Fonteneau, R., Gautier, A., & Ernst, D. (March 2019). Evaluating the Evolution of Distribution Networks under Different Regulatory Frameworks with Multi-Agent Modelling. Energies, 12 (7), 1-15. doi:10.3390/en12071203

Renard, H., & Ernst, D. (2019). Energiespecialist Damien Ernst: 'We hoeven helemaal niet minder energie te verbruiken'. Knack.

Petitet, M., Perrot, M., Mathieu, S., Ernst, D., & Phulpin, Y. (2019). Impact of gate closure time on the efficiency of power systems balancing. Energy Policy, 129, 562-573. doi:10.1016/j.enpol.2019.02.039

Gillman, S., & Ernst, D. (2018). Governments at COP24 should focus on building a global electricity grid – Prof. Damien Ernst. Horizon. The EU Research & Innovation Magazine.

Ernst, D. (2018). Soirée des Grands Prix SEE - A glimpse at the research work of the laureate of the Blondel Medal 2018 - Prof. Damien ERNST [Paper presentation]. Soirée des Grands Prix SEE, Paris, France.

Berger, M., Radu, D.-C., Fonteneau, R., Ernst, D., Deschuyteneer, T., & Detienne, G. (2018). Centralised Planning of National Integrated Energy System with Power-to-Gas and Gas Storages. In Proceedings of the 11th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (Medpower2018). doi:10.1049/cp.2018.1912

Ernst, D. (2018). Reinforcement learning, energy systems and deep neural nets [Paper presentation]. PGMO Days, EDF'Lab Paris-Saclay, France.

Vanrykel, F., Ernst, D., & Bourgeois, M. (2018). Fostering Share&Charge through proper regulation. Competition and Regulation in Network Industries. doi:10.1177/1783591718809576

Petitet, M., Perrot, M., Mathieu, S., Ernst, D., & Phulpin, Y. (2018). On the efficiency of decentralized decision-making in self-dispatch power systems. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/227744.

Vanrykel, F., Ernst, D., & Bourgeois, M. (September 2018). Regulatory Challenges for Share&Charge Models. Network Industries Quarterly, 20 (3), 17-21.

Scharff, C., & Ernst, D. (2018). Le projet énergétique à 100 milliards de Damien Ernst. L'Echo.

Olivier, F., Fonteneau, R., Mathieu, S., & Ernst, D. (2018). Distributed Control of Photovoltaic Units in unbalanced LV Distribution Networks to Prevent Overvoltages. In Proc. of the 6th IEEE International Conference on Smart Energy Grid Engineering (SEGE 2018). doi:10.1109/SEGE.2018.8499515

Vanrykel, F., Ernst, D., & Bourgeois, M. (22 June 2018). Fostering Share&Charge through Proper Regulation [Paper presentation]. 7th Conference on the Regulation of Infrastructures, Florence, Italy.

Ernst, D. (2018). Electricity retailing in Europe: remarkable events (with a special focus on Belgium) [Paper presentation]. ECONOMIE CIRCULAIRE: Comment créer de la valeur, réduire ses coûts et trouver des opportunités de financement ?.

Vangulick, D., Cornélusse, B., & Ernst, D. (2018). Blockchain for peer-to-peer energy exchanges: Probabilistic approach of Proof of Stake. In CIRED WORKSHOP 2018.

Vangulick, D., Cornélusse, B., & Ernst, D. (2018). Blockchain for peer-to-peer energy exchanges: design and recommendations (additional work). In CIRED Workshop 2018 Ljubljana, Slovania.

Boukas, I., Ernst, D., & Cornélusse, B. (2018). Real-Time Bidding Strategies from Micro-Grids Using Reinforcement Learning. In Proceedings of CIRED Workshop 2018.

Boukas, I., Ernst, D., Papavasiliou, A., & Cornélusse, B. (2018). Intra-day Bidding Strategies for Storage Devices Using Deep Reinforcement Learning. In International Conference on the European Energy Market, Łódź 27-29 June 2018 (pp. 6).

Cornélusse, B., Ernst, D., & Lachi, S. (2018). Optimal operation and fair profit allocation in community microgrids. In Proceedings of CIRED Workshop 2018.

Manuel de Villena Millan, M., Gautier, A., Fonteneau, R., & Ernst, D. (2018). A multi-agent system approach to model the interaction between distributed generation deployment and the grid. In Proc. of CIRED Workshop 2018.

Olivier, F., Fonteneau, R., & Ernst, D. (2018). Modelling of three-phase four-wire low-voltage cables taking into account the neutral connection to the earth. In Proc. of CIRED Workshop 2018.

Olivier, F., Sutera, A., Geurts, P., Fonteneau, R., & Ernst, D. (2018). Phase Identification of Smart Meters by Clustering Voltage Measurements. In Proceedings of the XX Power Systems Computation Conference (PSCC 2018). doi:10.23919/PSCC.2018.8442853

Vangulick, D., Cornélusse, B., & Ernst, D. (2018). Blockchain for peer-to-peer energy exchanges: design and recommendations. In Proceedings of the XX Power Systems Computation Conference (PSCC2018). doi:10.23919/PSCC.2018.8443042

Ernst, D. (2018). Reinforcement learning: a generic tool for solving  sequential decision-making problems for electrical systems [Paper presentation]. Artificial intelligence in the electrical system: Its applications, potentials and dangers, Brussels, Belgium.

Li, J., Xiong, R., Mu, H., Cornélusse, B., Vanderbemden, P., Ernst, D., & Yuan, W. (May 2018). Design and real-time test of a hybrid energy storage system in the microgrid with the benefit of improving the battery lifetime. Applied Energy, 218, 470-478. doi:10.1016/j.apenergy.2018.01.096

Manuel de Villena Millan, M., Fonteneau, R., Gautier, A., & Ernst, D. (2018). Exploring Regulation Policies in Distribution Networks through a Multi-Agent Simulator. In Proceedings of YRS2018.

Sootla, A., Mauroy, A., & Ernst, D. (May 2018). An Optimal Control Formulation of Pulse-Based Control Using Koopman Operator. Automatica, 91, 217-224. doi:10.1016/j.automatica.2018.01.036

Ernst, D. (2018). Projet de décret « GRD »: quelques remarques du Prof. Damien ERNST [Paper presentation]. Commission de l'énergie du Parlement de Wallonie, Namur, Belgium.

Sootla, A., & Ernst, D. (March 2018). Pulse-Based Control Using Koopman Operator Under Parametric Uncertainty. IEEE Transactions on Automatic Control, 63 (3), 791-796. doi:10.1109/TAC.2017.2736941

Mathieu, S., Olivier, F., Ernst, D., & Cornélusse, B. (2018). Effect of Voltage Constraints on the Exchange of Flexibility Services in Distribution Networks. In Proceedings of the 9th Conference on Innovative Smart Grid Technology North America (ISGT 2018). doi:10.1109/ISGT.2018.8403328

Ernst, D. (2017). Time to make a choice between a fully liberal or fully regulated model for the electrical industry [Paper presentation]. Regards croisés sur la transition énergétique, Louvain-la-Neuve, Belgium.

Ernst, D. (2017). Electrification and DRC [Paper presentation]. Enjeux électriques en République Démocratique du Congo, Liège, Belgium.

Ernst, D. (2017). Aire autoroutière de Hondelange: combiner le développement durable et l’opportunité économique.

Mathieu, S., Petitet, M., Perrot, M., Ernst, D., & Phulpin, Y. (2017). SiSTEM, a Model for the Simulation of Short-Term Electricity Markets. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/215614.

Manuel de Villena Millan, M., Gautier, A., Fonteneau, R., & Ernst, D. (2017). Simulation-based Assessment of the Impact of Regulatory Frameworks on the Interactions between Electricity Users and Distribution System Operator. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/215196.

Olivier, F., Marulli, D., Ernst, D., & Fonteneau, R. (2017). Foreseeing New Control Challenges in Electricity Prosumer Communities. In Proc. of the 10th Bulk Power Systems Dynamics and Control Symposium – IREP’2017.

Glavic, M., Fonteneau, R., & Ernst, D. (2017). Reinforcement Learning for Electric Power System Decision and Control: Past Considerations and Perspectives. In The 20th World Congress of the International Federation of Automatic Control, Toulouse 9-14 July 2017 (pp. 1-10). doi:10.1016/j.ifacol.2017.08.1217

Chatzivasileiadis, S., & Ernst, D. (2017). The state of play in cross-border electricity trade and the challenges towards a global electricity market environment. In E. Ilaria & T. Cottier (Ed.), International trade in sustainable electricity (pp. 21-45). Cambridge University Press. doi:10.1017/9781316681275.003

Cornélusse, B., Ernst, D., Warichet, L., & Legros, W. (2017). Efficient management of a connected microgrid in Belgium. In Proceedings of the 24th International Conference on Electricity Distribution, Glasgow, 12-15 June 2017. doi:10.1049/oap-cired.2017.0211

Olivier, F., Ernst, D., & Fonteneau, R. (2017). Automatic phase identification of smart meter measurement data. In Proceedings of the 24th International Conference and Exhibition on Electricity Distribution, CIRED 2017. doi:10.1049/oap-cired.2017.1143

Sutera, A., Joly, A., François-Lavet, V., Qiu, Z., Ernst, D., & Geurts, P. (2017). Simple connectome inference from partial correlation statistics in calcium imaging. In J. Soriano, D. Battaglia, I. Guyon, V. Lemaire, J. Orlandi, ... B. Ray (Eds.), Neural Connectomics Challenge (pp. 23-36). Springer. doi:10.1007/978-3-319-53070-3

Vangulick, D., Cornélusse, B., Vanherck, T., Devolder, O., & Ernst, D. (2017). E-CLOUD, the open microgrid in existing network infrastructure. In Proceedings of the 24th International Conference on Electricity Distribution. doi:10.1049/oap-cired.2017.0221

Vangulick, D., Ernst, D., & Van Cutsem, T. (2017). Resilience of the DSO network near to 50.2Hz. In Proceedings of the 24th International Conference on Electricity Distribution. doi:10.1049/oap-cired.2017.0294

Ernst, D. (2017). Energy: the clash of nations.

Sury, C., & Ernst, D. (2017). Questions d'argent - Damien Ernst. L'Echo.

Castronovo, M., François-Lavet, V., Fonteneau, R., Ernst, D., & Couëtoux, A. (2017). Approximate Bayes Optimal Policy Search using Neural Networks. In Proceedings of the 9th International Conference on Agents and Artificial Intelligence (ICAART 2017). doi:10.5220/0006191701420153

Dubois, A., Wehenkel, A., Fonteneau, R., Olivier, F., & Ernst, D. (2017). An App-based Algorithmic Approach for Harvesting Local and Renewable Energy Using Electric Vehicles. In Proceedings of the 9th International Conference on Agents and Artificial Intelligence (ICAART 2017). doi:10.5220/0006250803220327

Georges, E., Cornélusse, B., Ernst, D., Lemort, V., & Mathieu, S. (February 2017). Residential heat pump as flexible load for direct control service with parametrized duration and rebound effect. Applied Energy, 187, 140-153. doi:10.1016/j.apenergy.2016.11.012

Ernst, D. (2017). Uber-like Models for the Electrical Industry [Paper presentation]. EVENT Powerdale, Brussels, Belgium.

Scharff, C., & Ernst, D. (2017). Les batteries vont bouleverser notre quotidien. L'Echo.

Chatzivasileiadis, S., Ernst, D., & Andersson, G. (2017). Global Power Grids for Harnessing World Renewable Energy. In L. Jones, Renewable Energy Integration (Second Edition, pp. 161-174). Academic Press. doi:10.1016/B978-0-12-809592-8.00012-3

Cornélusse, B., & Ernst, D. (2017). GREDOR. Outcomes and recommendations. University of Liège. https://orbi.uliege.be/handle/2268/205034

de Faria Jr., H., Resende, M., & Ernst, D. (2017). A biased random key genetic algorithm applied to the electric distribution network reconfiguration problem. Journal of Heuristics. doi:10.1007/s10732-017-9355-8

Fonteneau, R., & Ernst, D. (2017). On the Dynamics of the Deployment of Renewable Energy Production Capacities. In J. N. Furze, K. Swing, A. K. Gupta, R. H. McClatchey, ... D. M. Reynolds, Mathematical Advances Towards Sustainable Environmental Systems (pp. 43-60). Springer. doi:10.1007/978-3-319-43901-3_3

Li, J., Cornélusse, B., Vanderbemden, P., & Ernst, D. (2017). A SC/battery Hybrid Energy Storage System in the Microgrid. Energy Procedia, 142, 3697–3702. doi:10.1016/j.egypro.2017.12.264

Mathieu, S., Ernst, D., & Cornélusse, B. (2017). Agent-based analysis of dynamic access ranges to the distribution network. In Proceedings of the 6th European Innovative Smart Grid Technologies (ISGT). doi:10.1109/ISGTEurope.2016.7856191

Godart, M.-F., Lambotte, J.-M., Bianchet, B., Maldague, H., Hendrickx, S., Copée, P., Wilmotte, P.-F., Ruelle, C., Bastin, F., Mercenier, C., Sandu, R., Vazquez Parras, J., Devillet, G., Sérusiaux, E., Teller, J., Ernst, D., Halleux, J.-M., Bottiau, V., Romain, J., ... Verelst, S. (08 December 2016). ETAT DU TERRITOIRE WALLON - PARTIE 2 : DYNAMIQUES SECTORIELLES TERRITORIALISÉES [Paper presentation]. Colloque 2016 de la CODT : Territoire(s) wallon(s) : tendances et perspectives, Mons, Belgium.

François-Lavet, V., Taralla, D., Ernst, D., & Fonteneau, R. (2016). Deep Reinforcement Learning Solutions for Energy Microgrids Management. In European Workshop on Reinforcement Learning (EWRL 2016).

Maldague, H., Teller, J. (Ed.), & Ernst, D. (Ed.). (2016). Contribution au rapport final - Subvention 2015-2016 - Actualisation du diagnostic du Schéma de Développement Territorial wallon - Secteur Production, Transport et Stockage de l'Energie. Namur, Belgium: Conférence Permanente du Développement Territorial. https://orbi.uliege.be/handle/2268/208330

Ernst, D. (2016). The Green Grid Network and Trading Renewable Energy [Paper presentation]. Green Grid Network Parliamentary Roundtable, Marrakesh, Morocco.

Ernst, D. (2016). Analyse du projet de décret relatif à la méthodologie tarifaire applicable aux gestionnaires de réseaux de distribution de gaz et d’électricité [Paper presentation]. Commission des pouvoirs locaux, du logement et de l'énergie du Parlement de Wallon.

Ernst, D., & Goka, O. (2016). Batteries and disrupting business models for the energy sector [Paper presentation]. ournée d’étude "Stockage de l’électricité : réel bouleversement ?", Liège, Belgium.

Ernst, D. (2016). La transition énergétique, l’affaire de tous [Paper presentation]. Soirée de lancement de la saison 2016-2017 de Liège Créative, Liège, Belgium.

Gemine, Q., Ernst, D., & Cornélusse, B. (October 2016). Active network management for electrical distribution systems: problem formulation, benchmark, and approximate solution. Optimization and Engineering, 18 (3), 587-629. doi:10.1007/s11081-016-9339-9

Aittahar, S., Sootla, A., & Ernst, D. (Other coll.). (19 September 2016). Policy transfer using Value Function as Prior Information [Paper presentation]. Phd Forum, Riva del Garda, Italy.

Bouffioux, M., & Ernst, D. (2016). Ces robots qui pourraient nous vouloir du mal. Paris Match, p. 70-71.

Castronovo, M., Ernst, D., Couëtoux, A., & Fonteneau, R. (2016). Benchmarking for Bayesian Reinforcement Learning. PLoS ONE. doi:10.1371/journal.pone.0157088

Ernst, D. (2016). Integration of renewable energy sources and demand-side management into distribution networks [Paper presentation]. EES-UETP course on "Risk Management in Power Systems: from Theory to Practice", Porto, Portugal.

Ernst, D. (2016). Capacity mechanisms for improving security of supply: quick fixes or thoughtfully rethinking the way electricity is traded? [Paper presentation]. Conference on Capacity Remuneration Mechanisms, Brussels, Belgium.

Gemine, Q., Cornélusse, B., Glavic, M., Fonteneau, R., & Ernst, D. (2016). A Gaussian mixture approach to model stochastic processes in power systems. In Proceedings of the 19th Power Systems Computation Conference (PSCC'16). doi:10.1109/PSCC.2016.7540921

Georges, E., Cornélusse, B., Ernst, D., Louveaux, Q., Lemort, V., & Mathieu, S. (2016). Direct control service from residential heat pump aggregation with specified payback. In Proceedings of the 19th Power Systems Computation Conference (PSCC). doi:10.1109/PSCC.2016.7540835

Cornélusse, B., Vangulick, D., Glavic, M., & Ernst, D. (2016). Further validation and extensions of the Global Capacity ANnouncement procedure for distribution systems. In CIRED Workshop Proceedings, Helsinki 14-15 June 2016.

Ernst, D. (2016). The Rise of Artificial Intelligence.

Ernst, D. (2016). Smart Grids versus Microgrids.

López-Erauskin, R., Gyselinck, J., Olivier, F., Ernst, D., Hervás, M. E., & Fabre, A. (2016). Modelling and Emulation of an Unbalanced LV Feeder with Photovoltaic Inverters. In Proc. of 8th IEEE Benelux Young researchers symposium in Electrical Power Engineering.

Ernst, D. (2016). COP21 and Electrical Systems [Paper presentation]. Accord de Paris sur le climat: quels défis pour la Belgique ?, Brussels, Belgium.

François-Lavet, V., Gemine, Q., Ernst, D., & Fonteneau, R. (2016). Towards the Minimization of the Levelized Energy Costs of Microgrids using both Long-term and Short-term Storage Devices. In Smart Grid: Networking, Data Management, and Business Models (pp. 295-319). CRC Press.

Ernst, D. (2016). TPCV versus gouvernement(s) et gestionnaires de réseaux: décodage [Paper presentation]. Assemblée générale "Touche pas à mes certificats verts", Marche-en-Famenne, Belgium.

Olivier, F., Aristidou, P., Ernst, D., & Van Cutsem, T. (March 2016). Active Management of Low-Voltage Networks for Mitigating Overvoltages due to Photovoltaic Units. IEEE Transactions on Smart Grid, 2 (7), 926-936. doi:10.1109/TSG.2015.2410171

Ernst, D., & Hermans, M. (2016). Mer ou RER : faut-il vraiment 10 milliards d'argent public pour l'éolien offshore ? Le Vif. L'Express.

Taralla, D., Qiu, Z., Sutera, A., Fonteneau, R., & Ernst, D. (2016). Decision Making from Confidence Measurement on the Reward Growth using Supervised Learning: A Study Intended for Large-Scale Video Games. In Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016) - Volume 2 (pp. 264-271). doi:10.5220/0005666202640271

Georges, E., Cornélusse, B., Ernst, D., Lemort, V., & Mathieu, S. (26 January 2016). Residential heat pumps as flexible loads for direct control service with constrained payback [Paper presentation]. First Seminar on Demand Response, Brussels, Belgium.

Ernst, D., & Hermans, M. (2016). Israël, vainqueur involontaire des guerres islamistes. Le Vif. L'Express.

Mathieu, S., Louveaux, Q., Ernst, D., & Cornélusse, B. (2016). DSIMA: A testbed for the quantitative analysis of interaction models within distribution networks. Sustainable Energy, Grids and Networks, 5, 78 - 93. doi:10.1016/j.segan.2015.11.004

Aittahar, S., François-Lavet, V., Lodeweyckx, S., Ernst, D., & Fonteneau, R. (2015). Imitative Learning for Online Planning in Microgrids. In W. L. Woon, A. Zeyar, ... M. Stuart (Eds.), Data Analytics for Renewable Energy Integration (pp. 1-15). Springer. doi:10.1007/978-3-319-27430-0_1

François-Lavet, V., Fonteneau, R., & Ernst, D. (2015). How to Discount Deep Reinforcement Learning: Towards New Dynamic Strategies. In NIPS 2015 Workshop on Deep Reinforcement Learning.

Ernst, D. (2015). The GREDOR project. Redesigning the decision chain for managing distribution networks [Paper presentation]. Grid+Storage Workshop, Lille, France.

Ernst, D. (2015). Global Grid(s) versus Microgrids [Paper presentation]. Elia Stokeholders' Days.

Ernst, D., & Hermans, M. (2015). La Russie, ce dangereux ami pour lutter contre le djihadisme wahhabiste. Le Vif. L'Express.

Ernst, D. (2015). Smart meter: cette brique de base de notre (futur) système énergétique [Paper presentation]. Parlement wallon - commission énergie, Namur, Belgium.

Cornélusse, B., Vangulick, D., Glavic, M., & Ernst, D. (October 2015). Global capacity announcement of electrical distribution systems: A pragmatic approach. Sustainable Energy, Grids and Networks, 4, 43-53. doi:10.1016/j.segan.2015.10.001

Johnen, A., Ernst, D., & Geuzaine, C. (October 2015). Sequential decision-making approach for quadrangular mesh generation. Engineering with Computers, 31 (4), 729-735. doi:10.1007/s00366-014-0383-9

Hermans, M., & Ernst, D. (2015). Arabie saoudite et Etats-Unis: un divorce annoncé. Le Vif. L'Express.

Vandael, S., Claessens, B., Ernst, D., Holvoet, T., & Deconinck, G. (July 2015). Reinforcement Learning of Heuristic EV Fleet Charging in a Day-Ahead Electricity Market. IEEE Transactions on Smart Grid, 6 (4), 1795 - 1805. doi:10.1109/TSG.2015.2393059

Ernst, D. (2015). An economic case for transnational and international transmission [Paper presentation]. International Energy & Climate Forum, Lucerne, Switzerland.

Cornélusse, B., Leroux, A., Glavic, M., & Ernst, D. (2015). Graph matching for reconciling SCADA and GIS of a distribution network. In Proceedings of the International Conference on Electricity Distribution, CIRED 2015.

Cornélusse, B., Vangulick, D., Glavic, M., & Ernst, D. (2015). A process to address electricity distribution sector challenges: the GREDOR project approach. In Proceedings of the International Conference on Electricity Distribution, CIRED 2015.

Mathieu, S., Ernst, D., & Cornélusse, B. (2015). Macroscopic analysis of interaction models for the provision of flexibility in distribution systems. In Proceedings of the International Conference on Electricity Distribution, CIRED 2015.

Ernst, D. (2015). The global grid for empowering renewable energy [Paper presentation]. 2015 TEDx Liège - Moonshot Edition - Crazy Ideas that Change the World, Liège, Belgium.

Safadi, F., Fonteneau, R., & Ernst, D. (13 March 2015). Artificial Intelligence in Video Games: Towards a Unified Framework. International Journal of Computer Games Technology, 2015, 30. doi:10.1155/2015/271296

Ernst, D. (2015). The inevitable downfall of the Belgian electrical power industry?

Ernst, D., & Hermans, M. (2015). L'arme de la transition énergétique pour combattre les djihadistes. L'Echo, p. 12.

Léonard, G., François-Lavet, V., Ernst, D., Meinrenken, C. J., & Lackner, K. S. (2015). Electricity storage with liquid fuels in a zone powered by 100% variable renewables [Paper presentation]. 12th International Conference on the European Energy Market - EEM 2015, Lisbon, Portugal.

Léonard, G., François-Lavet, V., Ernst, D., Meinrenken J., C., & Lackner S., K. (2015). Electricity storage with liquid fuels in a zone powered by 100% variable renewables. In Proceedings of the 12th International Conference on the European Energy Market - EEM15. doi:10.1109/EEM.2015.7216634

Merciadri, L., Mathieu, S., Ernst, D., & Louveaux, Q. (2015). Optimal Assignment of Off-Peak Hours to Lower Curtailments in the Distribution Network. In Proceedings of the 5th European Innovative Smart Grid Technologies (ISGT). doi:10.1109/ISGTEurope.2014.7028787

Ernst, D., & Hermans, M. (2014). Le sabotage sophistiqué de Doel 4 et l’intrigant survol de centrales nucléaires par des drones: l’hypothèse pas folle d’un intérêt d’Etat ? L'Echo.

François-Lavet, V., Fonteneau, R., & Ernst, D. (2014). Using approximate dynamic programming for estimating the revenues of a hydrogen-based high-capacity storage device. IEEE Symposium Series on Computational Intelligence. doi:10.1109/ADPRL.2014.7010624

Ernst, D. (2014). Blackouts: des vérités qui dérangent.

Rivadeneira, P., Moog, C., Stan, G.-B., Brunet, C., Raffi, F., Ferré, V., Costanza, V., Mhawej, M.-J., Biafore, F., Ouattara, D., Ernst, D., Fonteneau, R., & Xia, X. (October 2014). Mathematical Modeling of HIV Dynamics After Antiretroviral Therapy Initiation: A Review. BioResearch Open Access, 3 (5), 233-241. doi:10.1089/biores.2014.0024

Moog, C., Rivadeneira, P., Stan, G.-B., Brunet, C., Raffi, F., Ferre, V., Costanza, V., Mhawej, M.-J., Ernst, D., Fonteneau, R., Biafore, F., Ouattara, D., & Xia, X. (September 2014). Mathematical modeling of HIV dynamics after antiretroviral therapy initiation: A clinical research study. AIDS Research and Human Retroviruses, 30 (9), 831-834. doi:10.1089/aid.2013.0286

Chatzivasileiadis, S., Ernst, D., & Andersson, G. (2014). Global power grids for harnessing world renewable energy. In L. Jones (Ed.), Renewable Energy Integration: Practical Management of Variability, Uncertainty and Flexibility in Power Grids (pp. 175-188). Academic Press. doi:10.1016/B978-0-12-407910-6.00014-4

Gemine, Q., Ernst, D., Louveaux, Q., & Cornélusse, B. (2014). Relaxations for multi-period optimal power flow problems with discrete decision variables. In Proceedings of the 18th Power Systems Computation Conference (PSCC'14). doi:10.1109/PSCC.2014.7038396

Mathieu, S., Louveaux, Q., Ernst, D., & Cornélusse, B. (2014). A quantitative analysis of the effect of flexible loads on reserve markets. In Proceedings of the 18th Power Systems Computation Conference (PSCC). doi:10.1109/PSCC.2014.7038428

Aristidou, P., Olivier, F., Hervas, M. E., Ernst, D., & Van Cutsem, T. (2014). Distributed Model-free Control of Photovoltaic Units for Mitigating Overvoltages in Low-Voltage Networks. In Proc. of CIRED 2014 workshop (pp. 0087).

Castronovo, M., Ernst, D., & Fonteneau, R. (2014). Bayes Adaptive Reinforcement Learning versus Off-line Prior-based Policy Search: an Empirical Comparison. In Proceedings of the 23rd annual machine learning conference of Belgium and the Netherlands (BENELEARN 2014).

Sutera, A., Joly, A., François-Lavet, V., Qiu, Z., Louppe, G., Ernst, D., & Geurts, P. (2014). Simple connectome inference from partial correlation statistics in calcium imaging. In J. Soriano, D. Battaglia, I. Guyon, V. Lemaire, J. Orlandi, ... B. Ray (Eds.), Neural Connectomics Challenge. Springer.

Castronovo, M., Ernst, D., & Fonteneau, R. (2014). Apprentissage par renforcement bayésien versus recherche directe de politique hors-ligne en utilisant une distribution a priori: comparaison empirique. In Proceedings des 9èmes Journée Francophones de Planification, Décision et Apprentissage.

Ernst, D. (2014). Microgrids and their destructuring effects on the electrical industry.

François-Lavet, V., Fonteneau, R., & Ernst, D. (2014). Estimating the revenues of a hydrogen-based high-capacity storage device: methodology and results. In Proceedings des 9èmes Journée Francophones de Planification, Décision et Apprentissage.

Gemine, Q., Ernst, D., & Cornélusse, B. (2014). Gestion active d’un réseau de distribution d’électricité : formulation du problème et benchmark. In Proceedings des 9èmes Journées Francophones de Planification, Décision et Apprentissage.

Sootla, A., Strelkowa, N., Ernst, D., Barahona, M., & Guy-Bart, S. (2014). Toggling a genetic switch using reinforcement learning. In Proceedings of the 9th French Meeting on Planning, Decision Making and Learning.

Jung, T., Wehenkel, L., Ernst, D., & Maes, F. (March 2014). Optimized look-ahead tree policies: a bridge between look-ahead tree policies and direct policy search. International Journal of Adaptive Control and Signal Processing, 28 (3-5), 255-289. doi:10.1002/acs.2387

St-Pierre, D. L., Maes, F., Ernst, D., & Louveaux, Q. (March 2014). A learning procedure for sampling semantically different valid expressions. International Journal of Artificial Intelligence, 12 (1), 18-35.

Ernst, D. (2014). L'invité - Damien Ernst - "Nous allons vers une globalisation du marché de l'électricité". La revue Wallonie, (120), p. 28-31.

Fonteneau, R., Ernst, D., Boigelot, B., & Louveaux, Q. (2014). Lipschitz robust control from off-policy trajectories. In Proceedings of the 53rd IEEE Conference on Decision and Control (IEEE CDC 2014).

Fonteneau, R., Murphy, S. A., Wehenkel, L., & Ernst, D. (2014). Apprentissage par renforcement batch fondé sur la reconstruction de trajectoires artificielles. In Proceedings of the 9èmes Journées Francophones de Planification, Décision et Apprentissage (JFPDA 2014).

Ruiz-Vega, D., Wehenkel, L., Ernst, D., Pizano-Martinez, A., & Fuerte-Esquivel, C. (2014). Power system transient stability preventive and emergency control. In S. Savulescu (Ed.), Real-Time Stability in Power Systems 2nd Edition (pp. 123-158). Springer.

Ernst, D. (2013). The Global Grid [Paper presentation]. Conseil Economique et Social de Wallonie (CESW), Liège, Belgium.

Sootla, A., Strelkowa, N., Ernst, D., Barahona, M., & Stan, G.-B. (2013). On periodic reference tracking using batch-mode reinforcement learning with application to gene regulatory network control. In Proceedings of the 52nd Annual Conference on Decision and Control (CDC 2013) (pp. 4086-4091).

Mathieu, S., Ernst, D., & Louveaux, Q. (2013). An efficient algorithm for the provision of a day-ahead modulation service by a load aggregator. In Proceedings of the 4th European Innovative Smart Grid Technologies (ISGT). doi:10.1109/ISGTEurope.2013.6695247

Chatzivasileiadis, S., Ernst, D., & Andersson, G. (September 2013). The global grid. Renewable Energy, 57, 372-383. doi:10.1016/j.renene.2013.01.032

Ernst, D. (2013). Smart conversion of residual heat into electricity: the electricity market point of view [Paper presentation]. Restwarmterecuperatie - iets voor uw bedrijf?, ArcelorMittal-Gent, Belgium.

Ernst, D. (2013). GREDOR.

Fonteneau, R., Murphy, S. A., Wehenkel, L., & Ernst, D. (September 2013). Batch mode reinforcement learning based on the synthesis of artificial trajectories. Annals of Operations Research, 208 (1), 383-416. doi:10.1007/s10479-012-1248-5

Maes, F., Lupien St-Pierre, D., & Ernst, D. (September 2013). Monte Carlo search algorithm discovery for single-player games. IEEE Transactions on Computational Intelligence and AI in Games, 5 (3), 201-213. doi:10.1109/TCIAIG.2013.2239295

Ernst, D. (2013). Risque majeur de blackout : que faire ? La Libre Belgique, p. 54-55.

Ernst, D. (June 2013). Quelles perspectives pour les énergies renouvelables en Wallonie ? LiègeU, Eté 2013, 25-28.

Ernst, D. (2013). Understanding active network management in 30 minutes [Paper presentation]. 9ème RENDEZ-VOUS ANNUEL DU SOLAIRE PHOTOVOLTAIQUE, Namur, Belgium.

Ernst, D. (2013). Meta-learning of exploration-exploitation strategies in reinforcement learning.

Bubeck, S., Ernst, D., & Garivier, A. (February 2013). Optimal discovery with probabilistic expert advice: finite time analysis and macroscopic optimality. Journal of Machine Learning Research, 14, 601-623.

Ernst, D. (2013). Solving the fluctuation problems in a land with 100% of renewable energy.

Jung, T., Martin, S., Nassar, M., Ernst, D., & Leduc, G. (February 2013). Outbound SPIT Filter with Optimal Performance Guarantees. Computer Networks, 57 (7), 1630–1643. doi:10.1016/j.comnet.2013.02.013

Defourny, B., Ernst, D., & Wehenkel, L. (2013). Scenario Trees and Policy Selection for Multistage Stochastic Programming Using Machine Learning. INFORMS Journal on Computing, 25 (3), 488-501. doi:10.1287/ijoc.1120.0516

Fonteneau, R., Ernst, D., Boigelot, B., & Louveaux, Q. (2013). Min max generalization for deterministic batch mode reinforcement learning: relaxation schemes. SIAM Journal on Control and Optimization, 51 (5), 3355–3385. doi:10.1137/120867263

Fonteneau, R., Ernst, D., Boigelot, B., & Louveaux, Q. (2013). Généralisation Min Max pour l'Apprentissage par Renforcement Batch et Déterministe : Relaxations pour le Cas Général T Etapes. In 8èmes Journées Francophones de Planification, Décision et Apprentissage pour la conduite de systèmes (JFPDA'13).

Fonteneau, R., Murphy, S. A., Wehenkel, L., & Ernst, D. (2013). Stratégies d'échantillonnage pour l'apprentissage par renforcement batch. Revue d'Intelligence Artificielle, 27 (2), 171-194. doi:10.3166/RIA.27.171-194

Gemine, Q., Karangelos, E., Ernst, D., & Cornélusse, B. (2013). Active network management: planning under uncertainty for exploiting load modulation. In Proceedings of the 2013 IREP Symposium - Bulk Power Systems Dynamics and Control - IX. IEEE. doi:10.1109/IREP.2013.6629406

Jung, T., Ernst, D., & Maes, F. (2013). Optimized Look-Ahead Trees: Extensions to Large and Continuous Action Spaces. In Proc. of IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL'13).

Maes, F., Wehenkel, L., & Ernst, D. (2013). Meta-learning of Exploration/Exploitation Strategies: The Multi-Armed Bandit Case. In J. Filipe & A. Fred (Eds.), Agents and Artificial Intelligence: 4th International Conference, ICAART 2012, Vilamoura, Portugal, February 6-8, 2012. Revised Selected Papers (pp. 110-115). Springer.

Jung, T., & Ernst, D. (07 December 2012). Biorthogonalization Techniques for Least Squares Temporal Difference Learning [Poster presentation]. Neural Information Processing Systems (NIPS), South Lake Tahoe, NV, United States.

Bubeck, S., Ernst, D., & Garivier, A. (2012). Optimal discovery with probabilistic expert advice. In Proceedings of the 51st IEEE Conference on Decision and Control (CDC 2012).

Ernst, D. (2012). Batch mode reinforcement learning based on the synthesis of artificial trajectories.

Sarlette, A., Dai, J., Phulpin, Y., & Ernst, D. (December 2012). Cooperative frequency control with a multi-terminal high-voltage DC network. Automatica, 48 (12), 3128–3134. doi:10.1016/j.automatica.2012.08.017

Mathieu, S., Karangelos, E., Louveaux, Q., & Ernst, D. (08 October 2012). A computationally efficient algorithm for the provision of a day-ahead modulation service by a load aggregator [Poster presentation]. DYSCO Study Day : Dynamical systems, control and optimization Kickoff of phase VII.

Maes, F., Fonteneau, R., Wehenkel, L., & Ernst, D. (2012). Policy search in a space of simple closed-form formulas: towards interpretability of reinforcement learning. In Discovery Science 15th International Conference, DS 2012, Lyon, France, October 29-31, 2012. Proceedings (pp. 37-51). Berlin, Germany: Springer. doi:10.1007/978-3-642-33492-4_6

Jung, T., Martin, S., Ernst, D., & Leduc, G. (2012). Contextual Multi-armed Bandits for the Prevention of Spam in VoIP Networks. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/115524.

Dethier, J., Ernst, D., & Sepulchre, R. (28 May 2012). Rhythms in Neuromorphic Reinforcement Learning [Poster presentation]. International Conference on Brain Dynamics and Decision Making, Ascona, Switzerland.

Fonteneau, R., Ernst, D., Boigelot, B., & Louveaux, Q. (2012). Généralisation min max pour l'apprentissage par renforcement batch et déterministe : schémas de relaxation. In Septièmes Journées Francophones de Planification, Décision et Apprentissage pour la conduite de systèmes (JFPDA 2012).

Dethier, J., Ernst, D., & Sepulchre, R. (29 March 2012). Neuromorphic reinforcement learning [Paper presentation]. 31st Benelux Meeting on Systems and Control, Heijen, Netherlands.

Dai, J., Phulpin, Y., Sarlette, A., & Ernst, D. (February 2012). Coordinated primary frequency control among non-synchronous systems connected by a multi-terminal high-voltage direct current grid. IET Generation, Transmission and Distribution, 6 (2), 99-108. doi:10.1049/iet-gtd.2011.0312

Maes, F., Wehenkel, L., & Ernst, D. (2012). Learning to play K-armed bandit problems. In Proceedings of the 4th International Conference on Agents and Artificial Intelligence (ICAART 2012).

Castronovo, M., Maes, F., Fonteneau, R., & Ernst, D. (2012). Learning exploration/exploitation strategies for single trajectory reinforcement learning. In Proceedings of the 10th European Workshop on Reinforcement Learning (EWRL 2012) (pp. 1-9).

Ernst, D. (2012). Multi-terminal HVDC systems and ancillary services [Paper presentation]. Franco-Taiwanese workshop on Energy Management, Tainan, Taiwan.

Fonteneau, R., Ernst, D., Boigelot, B., & Louveaux, Q. (2012). Min max generalization for two-stage deterministic batch mode reinforcement learning: relaxation schemes. https://orbi.uliege.be/handle/2268/136851

Gemine, Q., Safadi, F., Fonteneau, R., & Ernst, D. (2012). Imitative Learning for Real-Time Strategy Games. In Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games (pp. 424-429).

Jung, T., Martin, S., Ernst, D., & Leduc, G. (2012). SPRT for SPIT: Using the Sequential Probability Ratio Test for Spam in VoIP Prevention. In Proc. of 6th International Conference on Autonomous Infrastructure, Management and Security. Springer Berlin. doi:10.1007/978-3-642-30633-4

Jung, T., Martin, S., Ernst, D., & Leduc, G. (2012). Contextual Multi-armed Bandits for Web Server Defense. In A. Hussein (Ed.), Proceedings of 2012 International Joint Conference on Neural Networks (IJCNN) (pp. 8). IEEE. doi:10.1109/IJCNN.2012.6252760

Perrick, P., Lupien St-Pierre, D., Maes, F., & Ernst, D. (2012). Comparison of Different Selection Strategies in Monte-Carlo Tree Search for the Game of Tron. In IEEE Conference on Computational and Intelligence in Games 2012 (pp. 242-249).

Fonteneau, R., Ernst, D., Boigelot, B., & Louveaux, Q. (2011). Relaxation schemes for min max generalization in deterministic batch mode reinforcement learning. In 4th International NIPS Workshop on Optimization for Machine Learning (OPT 2011).

Safadi, F., Fonteneau, R., & Ernst, D. (2011). Artificial intelligence design for real-time strategy games. In NIPS Workshop on Decision Making with Multiple Imperfect Decision Makers.

Ernst, D. (2011). Learning for exploration-exploitation in RL. The dusk of the small formulas’ reign.

Phulpin, Y., & Ernst, D. (2011). Ancillary services and operation of multi-terminal HVDC grids. In Proceedings of the International Workshop on Transmission Networks for Offshore Wind Power as well as on Transmission Networks for Offshore Wind Power Farms Plants.

Phulpin, Y., Hazra, J., & Ernst, D. (2011). Model predictive control of HVDC power flow to improve transient stability in power systems. In Proceedings of the Second IEEE International Conference on Smart Grid Communications (IEEE SmartGridComm) (pp. 611-616).

Fonteneau, R., Murphy, S. A., Wehenkel, L., & Ernst, D. (June 2011). Estimation Monte Carlo sans modèle de politiques de décision. Revue d'Intelligence Artificielle, 25, 321-343. doi:10.3166/ria.25.321-343

Fonteneau, R., Murphy, S. A., Wehenkel, L., & Ernst, D. (2011). Apprentissage actif par modification de la politique de décision courante. In Sixièmes Journées Francophones de Planification, Décision et Apprentissage pour la conduite de systèmes (JFPDA 2011).

Busoniu, L., Babuska, R., De Schutter, B., & Ernst, D. (2011). Approximate reinforcement learning: an overview. In Proceedings of the 2011 IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL-11). doi:10.1109/ADPRL.2011.5967353

Fonteneau, R., Murphy, S., Wehenkel, L., & Ernst, D. (2011). Active exploration by searching for experiments that falsify the computed control policy. In Proceedings of the 2011 IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL-11). doi:10.1109/ADPRL.2011.5967364

Busoniu, L., Ernst, D., Babuska, R., & De Schutter, B. (February 2011). Cross-entropy optimization of control policies with adaptive basis functions. IEEE Transactions on Systems, Man and Cybernetics. Part B, Cybernetics, 41 (1), 196-209. doi:10.1109/TSMCB.2010.2050586

Defourny, B., Ernst, D., & Wehenkel, L. (2011). Multistage stochastic programming: A scenario tree based approach to planning under uncertainty. In L. E. Sucar, E. F. Morales, ... J. Hoey (Eds.), Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions. Hershey, United States - Pennsylvania: Information Science Publishing. doi:10.4018/978-1-60960-165-2.ch006

Fonteneau, R., Murphy, S., Wehenkel, L., & Ernst, D. (2011). Towards min max generalization in reinforcement learning. In J. Filipe, A. Fred, ... B. Sharp (Eds.), Agents and Artificial Intelligence: International Conference, ICAART 2010, Valencia, Spain, January 2010, Revised Selected Papers (pp. 61-77). Springer.

Jing, D., Phulpin, Y., Sarlette, A., & Ernst, D. (2011). Voltage control in an HVDC system to share primary frequency reserves between non-synchronous areas. In Proceedings of the 17th Power Systems Computation Conference (PSCC-11).

Maes, F., Wehenkel, L., & Ernst, D. (2011). Optimized look-ahead tree policies. In Proceedings of the 9th European Workshop on Reinforcement Learning (EWRL 2011).

Maes, F., Wehenkel, L., & Ernst, D. (2011). Automatic discovery of ranking formulas for playing with multi-armed bandits. In Proceedings of the 9th European Workshop on Reinforcement Learning (EWRL 2011).

Rachelson, E., Schnitzler, F., Wehenkel, L., & Ernst, D. (2011). Optimal sample selection for batch-mode reinforcement learning. In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence (ICAART 2011).

Ernst, D. (2010). Beyond function approximators for batch mode reinforcement learning: rebuilding trajectories [Paper presentation]. Learning and Planning from Batch Time Series Data”, NIPS 2010, Whistler, Canada.

Ernst, D. (2010). Model-free Monte Carlo-like policy evaluation [Paper presentation]. Journées MAS 201, Bordeaux, France.

Dai, J., Phulpin, Y., Sarlette, A., & Ernst, D. (2010). Impact of delays on a consensus-based primary frequency control scheme for AC systems connected by a multi-terminal HVDC grid. In Proceedings of the 2010 IREP Symposium - Bulk Power Systems Dynamics and Control - VIII. doi:10.1109/IREP.2010.5563305

Ernst, D. (2010). Consequence driven decomposition of large-scale power systems security analysis [Paper presentation]. 2010 IREP Symposium - Bulk Power Systems Dynamics and Control - VIII, Buzios, Rio de Janeiro, Brazil.

Fonteneau, F., Ernst, D., Druet, C., Panciatici, P., & Wehenkel, L. (2010). Consequence driven decomposition of large-scale power system security analysis. In Proceedings of the 2010 IREP Symposium - Bulk Power Systems Dynamics and Control - VIII. doi:10.1109/IREP.2010.5563285

Phulpin, Y., Begovic, M., & Ernst, D. (2010). Coordination of voltage control in a power system operated by multiple transmission utilities. In Proceedings of the 2010 IREP Symposium - Bulk Power Systems Dynamics and Control - VIII. doi:10.1109/IREP.2010.5563246

Busoniu, L., De Schutter, B., Babuska, R., & Ernst, D. (2010). Using prior knowledge to accelerate online least-squares policy iteration. In Proceedings of the 2010 IEEE International Conference on Automation, Quality and Testing, Robotics. doi:10.1109/AQTR.2010.5520917

Busoniu, L., Ernst, D., De Schutter, B., & Robert, B. (May 2010). Approximate dynamic programming with a fuzzy parameterization. Automatica, 46 (5), 804-814. doi:10.1016/j.automatica.2010.02.006

Fonteneau, R., Murphy, S., Wehenkel, L., & Ernst, D. (2010). Model-free Monte Carlo–like policy evaluation. In Proceedings of Conférence Francophone sur l'Apprentissage Automatique (CAp) 2010.

Fonteneau, R., Murphy, S., Wehenkel, L., & Ernst, D. (2010). Model-free Monte Carlo-like policy evaluation. In Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010) (pp. 217-224).

Fonteneau, R., Murphy, S., Wehenkel, L., & Ernst, D. (2010). Generating informative trajectories by using bounds on the return of control policies. In Proceedings of the Workshop on Active Learning and Experimental Design 2010 (in conjunction with AISTATS 2010).

jouini, W., Ernst, D., Moy, C., & Palicot, J. (2010). Upper confidence bound based decision making strategies and dynamic spectrum access. In Proceedings of the 2010 IEEE International Conference on Communications.

Busoniu, L., Babuska, R., De Schutter, B., & Ernst, D. (2010). Reinforcement Learning and Dynamic Programming using Function Approximators. CRC Press. doi:10.1201/9781439821091

Busoniu, L., Ernst, D., Babusku, R., & De Schutter, B. (2010). Exploiting policy knowledge in online least-squares policy iteration: An empirical study. Automation, Computers, Applied Mathematics, 19 (4), 521-529.

Busoniu, L., Ernst, D., De Schutter, B., & Babuska, R. (2010). Online least-squares policy iteration for reinforcement learning control. In Proceedings of the 2010 American Control Conference (pp. 486-491). doi:10.1109/acc.2010.5530856

Fonteneau, R., & Ernst, D. (2010). Voronoi model learning for batch mode reinforcement learning. University of Liège. https://orbi.uliege.be/handle/2268/103539

Fonteneau, R., Murphy, S. A., Wehenkel, L., & Ernst, D. (2010). Model-free Monte Carlo-like policy evaluation. In 29th Benelux Meeting on Systems and Control.

Fonteneau, R., Murphy, S. A., Wehenkel, L., & Ernst, D. (2010). Computing bounds for kernel-based policy evaluation in reinforcement learning. University of Liège. https://orbi.uliege.be/handle/2268/103545

Fonteneau, R., Murphy, S., Wehenkel, L., & Ernst, D. (2010). A cautious approach to generalization in reinforcement learning. In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence (pp. 10).

Jouini, W., Ernst, D., Moy, C., & Palicot, J. (2009). Multi-armed bandit based policies for cognitive radio's decision making issues. In Proceedings of the 3rd International Conference on Signals, Circuits and Systems (SCS). doi:10.1109/ICSCS.2009.5412697

Mhawej, M.-J., Brunet-Francois, C., Fonteneau, R., Ernst, D., Ferré, V., Stan, G.-B., Raffi, F., & Moog, C. H. (July 2009). Apoptosis characterizes immunological failure of HIV infected patients. Control Engineering Practice, 17 (7), 798-804. doi:10.1016/j.conengprac.2009.01.001

Belmudes, F., Ernst, D., & Wehenkel, L. (2009). Pseudo-geographical representations of power system buses by multidimensional scaling. In Proceedings of the 15th International Conference on Intelligent System Applications to Power Systems (ISAP 2009). doi:10.1109/ISAP.2009.5352920

Belmudes, F., Ernst, D., & Wehenkel, L. (2009). A rare-event approach to build security analysis tools when N-k (k > 1) analyses are needed (as they are in large-scale power systems). In Proceedings of the 2009 IEEE Bucharest PowerTech. doi:10.1109/PTC.2009.5282223

Busoniu, L., Ernst, D., De Schutter, B., & Babuska, R. (2009). Policy search with cross-entropy optimization of basis functions. In Proceedings of the IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL-09) (pp. 153-160). doi:10.1109/ADPRL.2009.4927539

Dai, J., Phulpin, Y., Vannier, J.-C., & Ernst, D. (2009). Apprentissage par renforcement appliqué à la commande des systèmes électriques. In Proceedings of "Les Journées Electrotechnique du Futur 2009".

Defourny, B., Ernst, D., & Wehenkel, L. (2009). Planning under uncertainty, ensembles of disturbance trees and kernelized discrete action spaces. In Proceedings of the IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL-09) (pp. 145-152). doi:10.1109/ADPRL.2009.4927538

Defourny, B., Ernst, D., & Wehenkel, L. (2009). Bounds for Multistage Stochastic Programs using Supervised Learning Strategies. In O. Watanabe & T. Zeugmann (Eds.), Stochastic Algorithms: Foundations and Applications (pp. 61-73). Springer. doi:10.1007/978-3-642-04944-6_6

Ernst, D. (2009). Lower bounds in reinforcement learning: the intelligent agent dream is getting closer [Paper presentation]. The Netherlands, Control Group, TU Delft, Netherlands.

Ernst, D., Glavic, M., Capitanescu, F., & Wehenkel, L. (2009). Reinforcement learning versus model predictive control: a comparison on a power system problem. IEEE Transactions on Systems, Man and Cybernetics. Part B, Cybernetics, 33 (2), 517-519. doi:10.1109/TSMCB.2008.2007630

Ernst, D., Wehenkel, L., & Pavella, M. (2009). What is the likely future of real-time transient stability ? In Proceedings of the 2009 IEEE/PES Power Systems Conference & Exposition (PSCE 2009). doi:10.1109/PSCE.2009.4840101

Fonteneau, R., Murphy, S., Wehenkel, L., & Ernst, D. (2009). Inferring bounds on the performance of a control policy from a sample of trajectories. In Proceedings of the IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL-09) (pp. 117-123). doi:10.1109/ADPRL.2009.4927534

Fonteneau, R., Murphy, S. A., Wehenkel, L., & Ernst, D. (2009). Inferring bounds on the performance of a control policy from a sample of one-step system transitions. In 28th Benelux Meeting on Systems and Control.

Fonteneau, R., Murphy, S. A., Wehenkel, L., & Ernst, D. (2009). Dynamic treatment regimes using reinforcement learning: a cautious generalization approach [Poster presentation]. Benelux Bioinformatics Conference (BBC 2009), Liège, Belgium.

Hazra, J., Phulpin, Y., & Ernst, D. (2009). HVDC control strategies to improve transient stability in interconnected power systems. In Proceedings of the 2009 IEEE Bucharest PowerTech. doi:10.1109/PTC.2009.5281816

Phulpin, Y., Begovic, M., Petit, M., & Ernst, D. (2009). Decentralized reactive power dispatch for a time-varying multi-TSO system. In Proceedings of the 42nd Hawaii International Conference on System Sciences (HICSS-42). doi:10.1109/HICSS.2009.142

Phulpin, Y., Begovic, M., Petit, M., & Ernst, D. (2009). A fair method for centralized optimization of multi-TSO power systems. International Journal of Electrical Power and Energy Systems, 31, 482-488. doi:10.1016/j.ijepes.2009.03.014

Phulpin, Y., Miroslav, B., Petit, M., Heyberger, J.-B., & Ernst, D. (2009). Evaluation of network equivalents for voltage optimization in multi-area power systems. IEEE Transactions on Power Systems, 24 (2), 729-743. doi:10.1109/TPWRS.2009.2016534

Wehenkel, L., Ernst, D., Rousseaux, P., & Van Cutsem, T. (2008). Research and Education Activities in Electric Power Systems at the University of Liège. Revue E: Revue d'Electricité et d'Electronique Industrielle, (4), 54-59.

Ernst, D. (2008). A reinforcement learning approach for designing artificial autonomous intelligent agents [Paper presentation]. EPIT 2008, Porquerolles, France.

Fonteneau, R., Wehenkel, L., & Ernst, D. (2008). Variable selection for dynamic treatment regimes: a reinforcement learning approach. In The annual machine learning conference of Belgium and the Netherlands (BeNeLearn 2008).

Stan, G.-B., Belmudes, F., Fonteneau, R., Zeggwagh, F., Lefebvre, M.-A., Michelet, C., & Ernst, D. (March 2008). Modelling the influence of activation-induced apoptosis of CD4+ and CD8+ T-cells on the immune system response of a HIV-infected patient. IET Systems Biology, 2 (2), 94-102. doi:10.1049/iet-syb:20070029

Ali, M., Glavic, M., Buisson, J., Wehenkel, L., & Ernst, D. (2008). Analyzing transient instability phenomena beyond the classical stability boundary. In Proceedings of the 40th North American Power Symposium (NAPS 2008). doi:10.1109/NAPS.2008.5307390

Belmudes, F., Ernst, D., & Wehenkel, L. (2008). Cross-entropy based rare-event simulation for the identification of dangerous events in power systems. In Proceedings of the 10th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS-08).

Busoniu, L., Ernst, D., Babuska, R., & De Schutter, B. (2008). Fuzzy partition optimization for approximate fuzzy Q-iteration. In Proceedings of the 17th IFAC World Congress (IFAC-08).

Busoniu, L., Ernst, D., Babuska, R., & De Schutter, B. (2008). Consistency of fuzzy model-based reinforcement learning. In Proceedings of the 2008 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE-08) (pp. 518-524). doi:10.1109/FUZZY.2008.4630417

Busoniu, L., Ernst, D., De Schutter, B., & Babuska, R. (2008). Continuous-state reinforcement learning with fuzzy approximation. In K. Tuyls, A. Nowé, Z. Guessoum, ... D. Kudenko (Eds.), Adaptive Agents and Multi-Agent Systems III, Adaptation and Multi-Agent Learning (pp. 27-43). doi:10.1007/978-3-540-77949-0_3

Defourny, B., Ernst, D., & Wehenkel, L. (2008). Risk-aware decision making and dynamic programming [Paper presentation]. NIPS-08 Workshop on Model Uncertainty and Risk in Reinforcement Learning, Whistler, Canada.

Defourny, B., Ernst, D., & Wehenkel, L. (2008). Lazy planning under uncertainty by optimizing decisions on an ensemble of incomplete disturbance trees. In B. Defourny, D. Ernst, ... L. Wehenkel, Recent Advances in Reinforcement Learning (pp. 1-14). doi:10.1007/978-3-540-89722-4_1

Fonteneau, R., Wehenkel, L., & Ernst, D. (2008). Variable selection for dynamic treatment regimes: a reinforcement learning approach [Paper presentation]. European Workshop on Reinforcement Learning 2008 (EWRL'08), Villeneuve d'Ascq, France.

Fonteneau, R., Wehenkel, L., & Ernst, D. (2008). Variable selection for dynamic treatment regimes. In 27th Benelux Meeting on Systems and Control.

Jing, D., Phulpin, Y., Rious, V., & Ernst, D. (2008). How compatible is perfect competition with transmission loss allocation methods? In Proceedings of the 5th International Conference on the European Electricity Market (EEM-08). doi:10.1109/EEM.2008.4579022

Phulpin, Y., Begovic, M., Petit, M., & Ernst, D. (2008). On the fairness of centralised decision-making strategies in multi-area power systems. In Proceedings of the 16th Power Systems Computation Conference (PSCC-08).

Capitanescu, F., Glavic, M., Ernst, D., & Wehenkel, L. (November 2007). Contingency filtering techniques for preventive security-constrained optimal power flow. IEEE Transactions on Power Systems, 22 (4), 1690-1697. doi:10.1109/TPWRS.2007.907528

Del Angel, A., Geurts, P., Ernst, D., Glavic, M., & Wehenkel, L. (October 2007). Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities. Neurocomputing, 70 (16-18), 2668-2678. doi:10.1016/j.neucom.2006.12.017

Capitanescu, F., Glavic, M., Ernst, D., & Wehenkel, L. (April 2007). Interior-point based algorithms for the solution of optimal power flow problems. Electric Power Systems Research, 77 (5-6), 508-517. doi:10.1016/j.epsr.2006.05.003

Beck, E. V., Cherkaoui, R., Minoia, A., & Ernst, D. (2007). Nash equilibrium as the minimum of a function. Application to electricity markets with large number of actors. In Proceedings of the 2007 Power Tech (pp. 837-842). doi:10.1109/PCT.2007.4538424

Busoniu, L., Ernst, D., Babuska, R., & De Schutter, B. (2007). Fuzzy approximation for convergent model-based reinforcement learning. In Proceedings of the 2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE-07). doi:10.1109/FUZZY.2007.4295497

Busoniu, L., Ernst, D., Babuska, R., & De Schutter, B. (2007). Continuous-state reinforcement learning with fuzzy approximation. In Proceedings of the 7th European Symposium on Adaptive Learning Agents and Multi-Agent Systems (ALAMAS-07) (pp. 21-35).

Ernst, D., Glavic, M., Capitanescu, F., & Wehenkel, L. (2007). Model predictive control and reinforcement learning as two complementary frameworks. International Journal of Tomography and Statistics, 6, 122-127.

Ernst, D., Glavic, M., Stan, G.-B., Mannor, S., & Wehenkel, L. (2007). The cross-entropy method for power system combinatorial optimization problems. In Proceedings of the 2007 Power Tech (pp. 1290-1295). doi:10.1109/PCT.2007.4538502

Glavic, M., Ernst, D., Ruiz-Vega, D., Wehenkel, L., & Pavella, M. (2007). E-SIME- A method for transient stability closed-loop emergency control: achievements and prospects. In Proceedings of 2007 IREP Symposium - Bulk Power Systems Dynamics and Control - VII. doi:10.1109/IREP.2007.4410519

Stan, G.-B., Belmudes, F., Fonteneau, R., Zeggwagh, F., Lefebvre, M.-A., Michelet, C., & Ernst, D. (2007). Modelling the influence of activation-induced apoptosis of CD4+ and CD8+ T-cells on the immune system response of a HIV infected patient [Poster presentation]. Benelux Bioinformatics Conference (BBC 2007), Leuven, Belgium.

Wehenkel, L., Glavic, M., & Ernst, D. (2007). A collaborative framework for multi-area dynamic security assessment of large scale systems. In Proceedings of the 2007 Power Tech (pp. 261-266). doi:10.1109/PCT.2007.4538327

Ernst, D. (2006). Computing near-optimal policies from trajectories by solving a sequence of standard supervised learning problems.

Krause, T., Beck, E. V., Cherkaoui, R., Germond, A., Andersson, G., & Ernst, D. (November 2006). A comparison of Nash equilibria analysis and agent-based modelling for power markets. International Journal of Electrical Power and Energy Systems, 28 (9), 599-607. doi:10.1016/j.ijepes.2006.03.002

Geurts, P., Ernst, D., & Wehenkel, L. (April 2006). Extremely randomized trees. Machine Learning, 63 (1), 3-42. doi:10.1007/s10994-006-6226-1

Ernst, D. (2006). Clinical data based optimal STI strategies for HIV: a reinforcement learning approach.

Minoia, A., Ernst, D., Dicorato, M., Trovato, M., & Ilic, M. (February 2006). Reference transmission network: A game theory approach. IEEE Transactions on Power Systems, 21 (1), 249-259. doi:10.1109/TPWRS.2005.861966

Capitanescu, F., Glavic, M., Ernst, D., & Wehenkel, L. (2006). Applications of security-constrained optimal power flows. In In Proceedings of Modern Electric Power Systems Symposium, MEPS06.

Ernst, D., Glavic, M., Capitanescu, F., & Wehenkel, L. (2006). Model predictive control and reinforcement learning as two complementary frameworks. In Proceedings of the 13th IFAC Workshop on Control Applications of Optimisation.

Ernst, D., Marée, R., & Wehenkel, L. (2006). Reinforcement learning with raw image pixels as input state. In Advances in machine vision, image processing & pattern analysis (Lecture notes in computer science, Vol. 4153). Berlin, Germany: Springer-Verlag Berlin.

Ernst, D., Stan, G.-B., Gonçalves, J., & Wehenkel, L. (2006). Clinical data based optimal STI strategies for HIV: a reinforcement learning approach. In Proceedings of the 15th Annual Machine Learning Conference of Belgium and The Netherlands (Benelearn 2006).

Ernst, D., Stan, G.-B., Gonçalves, J., & Wehenkel, L. (2006). Clinical data based optimal STI strategies for HIV: a reinforcement learning approach. In Proceedings of the 45th IEEE Conference on Decision and Control (CDC 2006) (pp. 667 - 672). doi:10.1109/CDC.2006.377527

Glavic, M., Wehenkel, L., & Ernst, D. (2006). Damping control by fusion of reinforcement learning and control Lyapunov functions. In Proceedings of the 38th North American Power Symposium (NAPS 2006) (pp. 361-367). doi:10.1109/NAPS.2006.359598

Wehenkel, L., Ernst, D., & Geurts, P. (2006). Ensembles of extremely randomized trees and some generic applications. In Proceedings of Robust Methods for Power System State Estimation and Load Forecasting.

Wehenkel, L., Glavic, M., & Ernst, D. (2006). On multi-area security assessment of large interconnected power systems. In Proceedings of the Second Carnegie Mellon Conference in Electric Power Systems: Monitoring, Sensing, Software and its Valuation for the Changing electric Power Industry.

Wehenkel, L., Glavic, M., & Ernst, D. (2006). Multi-area security assessment: results using efficient bounding method. In Proceedings of the 38th North American Power Symposium (NAPS 2006) (pp. 511-515). doi:10.1109/NAPS.2006.359620

Wehenkel, L., Glavic, M., Geurts, P., & Ernst, D. (2006). Automatic learning of sequential decision strategies for dynamic security assessment and control. In Proceedings of the IEEE Power Engineering Society General Meeting 2006. doi:10.1109/PES.2006.1708874

Wehenkel, L., Glavic, M., Geurts, P., & Ernst, D. (2006). About automatic learning for advanced sensing, monitoring and control of electric power systems. In Proceedings of the Second Carnegie Mellon Conference in Electric Power Systems: Monitoring, Sensing, Software and its Valuation for the Changing electric Power Industry.

Ernst, D. (2005). Supervised learning based sequential decision making [Paper presentation]. Optimization frameworks for industrial applications, Paris, France.

Glavic, M., Ernst, D., & Wehenkel, L. (June 2005). A reinforcement learning based discrete supplementary control for power system transient stability enhancement. International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications, 13 (2 Sp. Iss. SI), 81-88.

Ernst, D., Geurts, P., & Wehenkel, L. (April 2005). Tree-based batch mode reinforcement learning. Journal of Machine Learning Research, 6, 503-556.

Glavic, M., Ernst, D., & Wehenkel, L. (February 2005). Combining a stability and a performance-oriented control in power systems. IEEE Transactions on Power Systems, 20 (1), 525-526. doi:10.1109/TPWRS.2004.841146

Cirio, D., Lucarella, D., Vimercati, G., Massucco, S., Morini, A., Silvestro, F., Ernst, D., Pavella, M., & Wehenkel, L. (2005). Application of an advanced transient stability assessment and control method to a realistic power system. In Proceedings of the 15th Power System Computation Conference (PSCC 2005).

Ernst, D. (2005). Selecting concise sets of samples for a reinforcement learning agent. In Proceedings of the 3rd International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2005).

Ernst, D., Glavic, M., Geurts, P., & Wehenkel, L. (2005). Approximate value iteration in the reinforcement learning context. Application to electrical power system control. International Journal of Emerging Electrical Power Systems, 3 (1). doi:10.2202/1553-779X.1066

Krause, T., Andersson, G., Ernst, D., Vdovina-Beck, E., Cherkaoui, R., & Germond, A. (2005). A comparison of Nash equilibria analysis and agent-based modelling for power markets. In Proceedings of the 15th Power System Computation Conference (PSCC 2005).

Wehenkel, L., Glavic, M., & Ernst, D. (2005). New developments in the application of automatic learning to power system control. In Proceedings of the 15th Power System Computation Conference (PSCC 2005).

Wehenkel, L., Ruiz-Vega, D., Ernst, D., & Pavella, M. (2005). Preventive and emergency control of power systems. In Real Time Stability in Power Systems - Techniques for Early Detection of the Risk of Blackout (pp. 199-232). Springer Berlin.

Zima, M., & Ernst, D. (2005). On multi-area control in electric power systems. In Proceedings of the 15th Power System Computation Conference (PSCC 2005).

Ernst, D., Glavic, M., & Wehenkel, L. (February 2004). Power systems stability control: Reinforcement learning framework. IEEE Transactions on Power Systems, 19 (1), 427-435. doi:10.1109/TPWRS.2003.821457

Ernst, D., Minoia, A., & Marija, I. (2004). Market dynamics driven by the decision-making power producers. In Proceedings of 2004 IREP Symposium - Bulk Power System Dynamics and Control - VI.

Krause, T., Andersson, G., Ernst, D., Vdovina-Beck, E., Cherkaoui, R., & Germond, A. (2004). Nash equilibria and reinforcement learning for active decision maker modelling in power markets. In Proceedings of the 6th IAEE European Conference: Modelling in Energy Economics and Policy.

Minoia, A., Ernst, D., & Ilic, M. (2004). Market dynamics driven by the decision-making of both power producers and transmission owners. In Proceedings of the IEEE Power Engineering Society General Meeting 2004 (pp. 255-260). doi:10.1109/PES.2004.1372795

Ernst, D. (2003). Near Optimal Closed-Loop Control. Application to Electric Power Systems [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/13270

Ernst, D., Geurts, P., & Wehenkel, L. (2003). Iteratively extending time horizon reinforcement learning. In Machine Learning: ECML 2003, 14th European Conference on Machine Learning (pp. 96-107). Berlin, Germany: Springer-Verlag Berlin. doi:10.1007/978-3-540-39857-8_11

Glavic, M., Ernst, D., & Wehenkel, L. (2003). A reinforcement learning based discrete supplementary control for power system transient stability enhancement. In Proceedings of the 12th Intelligent Systems Application to Power Systems Conference (ISAP 2003).

Ruiz-Vega, D., Glavic, M., & Ernst, D. (2003). Transient stability emergency control combining open-loop and closed-loop technique. In Proceedings of the IEEE Power Engineering Society General Meeting, 2003. doi:10.1109/PES.2003.1270929

Ernst, D., Ruiz-Vega, D., Pavella, M., Hirsch, P., & Sobajic, D. (May 2002). Closure of "a unified approach to transient stability contingency filtering, ranking, and assessment". IEEE Transactions on Power Systems, 17 (2), 528-529. doi:10.1109/TPWRS.2002.1008374

Ernst, D., & Wehenkel, L. (2002). FACTS devices controlled by means of reinforcement learning algorithms. In Proceedings of the 14th Power Systems Computation Conference (PSCC 2002).

Ernst, D., Ruiz-Vega, D., Pavella, M., Hirsch, P., & Sobajic, D. (August 2001). A unified approach to transient stability contingency filtering, ranking and assessment. IEEE Transactions on Power Systems, 16 (3), 435-443. doi:10.1109/59.932279

Ernst, D. (2001). Reinforcement learning applied to power system oscillations damping. In Proceedings of the 40th Conference on Decision and Control (CDC 2001) (pp. 3043-3044). doi:10.1109/.2001.980282

Ghandhari, M., Andersson, G., Pavella, M., & Ernst, D. (2001). A control strategy for controllable series capacitor in electric power systems. Automatica, 37, 1575-1583. doi:10.1016/S0005-1098(01)00099-1

Roth, A., Ruiz-Vega, D., Ernst, D., Bulac, C., Pavella, M., & Andersson, G. (2001). An approach to modal analysis of power system angle stability. In Proceedings of IEEE Powertech 2001. doi:10.1109/PTC.2001.964728

Ernst, D. (2000). Preventive and emergency transient stability control [Paper presentation]. VII Symposium of Specialists in Electric Operational and Expansion Planning (SEPOPE 2000), Curitiba, Brazil.

Avilas-Rosales, R., Ruiz-Vega, D., Ernst, D., & Pavella, M. (2000). On-line transient stability constrained ATC calculations. In Proceedings of the IEEE Power Engineering Society Summer Meeting 2000 - Volume 2 (pp. 1291-1296). doi:10.1109/PESS.2000.867575

Druet, C., Ernst, D., & Wehenkel, L. (2000). Application of reinforcement learning to electrical power system closed-loop emergency control. In Principles of Data Mining and Knowledge Discovery, 4th European Conference, PKDD 2000. Heidelberg. doi:10.1007/3-540-45372-5_9

Ernst, D., & Pavella, M. (2000). Closed-loop transient stability emergency control. In Proceedings of the IEEE Power Engineering Society Winter Meeting 2000 (pp. 58-62). doi:10.1109/PESW.2000.849927

Ernst, D., Ruiz-Vega, D., & Pavella, M. (2000). Preventive and emergency transient stability control. In Proceedings of the VII Symposium of Specialists in Electric Operational and Expansion Planning (SEPOPE 2000).

Pavella, M., Ernst, D., & Ruiz-Vega, D. (2000). Transient Stability of Power Systems: A Unified Approach to Assessment and Control. United States: Kluwer Academic Publishers.

Ruiz-Vega, D., Ernst, D., Machado Ferreira, C., Pavella, M., Hirsch, P., & Sobajic, D. (2000). A contingency filtering, ranking and assessment technique for on-line transient stability studies. In Proceedings of International Conference on Electric Utility Deregulation and Restructing and Power Technologies 2000 (pp. 459-464). doi:10.1109/DRPT.2000.855708

Ruiz-Vega, D., Ernst, D., & Pavella, M. (2000). Preventive countermeasures for transient stability-constrained power systems. In Proceedings of the VII Symposium of Specialists in Electric Operational and Expansion Planning (SEPOPE 2000).

Pavella, M., Ernst, D., & Ruiz-Vega, D. (October 1999). A general framework for power system transient stability control. IEEE Power Engineering Society Letters, 19 (10), 45-46.

Bettiol, A., Ruiz-Vega, D., Ernst, D., Wehenkel, L., & Pavella, M. (1999). Transient stability-constrained optimal power flow. In Proceedings of the IEEE Power Tech'99.

Ruiz-Vega, D., Bettiol, A., Ernst, D., Wehenkel, L., & Pavella, M. (1998). Transient stability-constrained generation rescheduling. In Proceedings of 1998 IREP Symposium - Bulk Power System Dynamics and Control - IV (pp. 105-115).

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