 | Vangulick, D., Escalona Coronel, S. J., & Ernst, D. (June 2023). Distributed ledger technology for monitoring operations carried out on the embedded generation units. Paper presented at 27th International Conference on Electricity Distribution, Rome, Italy.  Peer reviewed |
| Ernst, D. (2023). La politisation de la Boucle du Hainaut compromet l’avenir de la province, du pays et du climat. L'Echo. |
| Bolland, A., Louppe, G., & Ernst, D. (2023). Policy Gradient Algorithms Implicitly Optimize by Continuation. Eprint/Working paper retrieved from https://orbi.uliege.be/2268/302533. |
| 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 Peer Reviewed verified by ORBi |
| Dachet, V., Collin, J., & Ernst, D. (2023). Remote Renewable Energy Hubs. Paper presented at Total Energies Town Hall, Paris, France. |
| Ernst, D. (2023). Patrimoine et transition énergétique. Paper presented at 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 presented at 2nd International workshop on "Open Source Modeling and Simulation of Energy Systems" OSMSES 2023, Aachen, Germany. |
| Dachet, V., Benzerga, A., Fonteneau, R., & Ernst, D. (2023). Towards CO2 valorization in a multi remote renewable energy hub framework. Eprint/Working paper retrieved from https://orbi.uliege.be/2268/301033. |
| 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 presented at ½ journée de formation continuée FEMARBEL “Les maisons de repos face à la crise de l’énergie”, Nivelles, Belgium. |
| Ernst, D. (2023). Crise énergétique : et l’après. Paper presented at Conférence donnée dans de multiples endroits, Belgium. |
| Vassallo, M., Benzerga, A., Bahmanyar, A., & Ernst, D. (2023). Fair Reinforcement Learning Algorithm for PV Active Control in LV Distribution Networks. Paper presented at ICCEP 2023 conference, Palermo, Italy. |
| Dubois, A., Dumas, J., Thiran, P., Limpens, G., & Ernst, D. (2023). Multi-objective near-optimal necessary conditions for multi-sectoral planning. Eprint/Working paper retrieved from https://orbi.uliege.be/2268/300365. |
| Théate, T., & Ernst, D. (2022). Risk-Sensitive Policy with Distributional Reinforcement Learning. Eprint/Working paper retrieved from https://orbi.uliege.be/2268/297883. |
| Miftari, B., Berger, M., Derval, G., Louveaux, Q., & Ernst, D. (2022). GBOML: A Structure-exploiting Optimization Modelling Language in Python. (Preprint). Eprint/Working paper retrieved from https://orbi.uliege.be/2268/296930. |
| 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 presented at Deep Reinforcement Learning Workshop, NeurIPS. Peer reviewed |
| Ernst, D., & François, R. (2022). Transition énergétique : une immense erreur se produit sous nos yeux en sous-finançant les réseaux de distribution". Trends-Tendances. |
| 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 presented at European Workshop on Reinforcement Learning, Milan, Italy. Peer reviewed |
| 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. Peer reviewed |
| Lambrechts, G.* , De Geeter, F.* , Vecoven, N.* , Ernst, D., & Drion, G. (2022). Warming-up recurrent neural networks to maximize reachable multi-stability greatly improves learning. Eprint/Working paper retrieved from https://orbi.uliege.be/2268/260699. * These authors have contributed equally to this work. |
| 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. Peer reviewed |
| Ernst, D. (2022). Enseignement et économie : quelques points de réflexion. Paper presented at 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 presented at SRBE Study Day: Power Network Digitalization Impacts on Protection, Automation and Control. |
| Dubois, A., & Ernst, D. (2022). Computing Necessary Conditions for Near-Optimality in Capacity Expansion Planning Problems. In Electric Power Systems Research. Elsevier. Peer reviewed |
| 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. Peer reviewed |
| 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 presented at EGU 2022. |
| Miftari, B., Berger, M., & Ernst, D. (2022). Graph-Based Optimization Modeling Language (GBOML). Paper presented at Meeting with TotalEnergies. |
| Miftari, B.* , Berger, M.* , Djelassi, H., & Ernst, D. (2022). GBOML: Graph-Based Optimization Modeling Language. Journal of Open Source Software. Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
| Merchie, F., & Ernst, D. (2022). Churn prediction in online gambling. Eprint/Working paper retrieved from https://orbi.uliege.be/2268/266886. |
| De Villena, M. M., Aittahar, S., Mathieu, S., Boukas, I., Vermeulen, E., & Ernst, D. (2022). Allocation of locally generated electricity in renewable energy communities. Eprint/Working paper retrieved from https://orbi.uliege.be/2268/250878. |
| Ernst, D. (2021). REMI - Réseaux Électriques Mondialement Interconnectés. |
| Ernst, D. (2021). Elements of concern regarding a total nuclear phase-out in 2025 in Belgium. |
| Ernst, D. (2021). Reinforcement learning for electrical markets and the energy transition. Paper presented at AI Conference: 2 days dedicated to Artificial Intelligence, Paris, France. |
| Ernst, D. (2021). Competition models for the electrical industry and electrical markets. |
 | 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 +. |
| 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. Peer reviewed |
| Goffin, P., El Mokhtari, Y., & Ernst, D. (2021). Le rendez-vous manqué de la Wallonie avec les communautés d’énergie renouvelable. L'Echo. |
| 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 presented at 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 presented at Stanford Decarbonizing the Grid Workshop: The Role of Grid Interconnection. |
| 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). Peer reviewed |
| Berger, M., Bolland, A., Miftari, B., Djelassi, H., & Ernst, D. (2021). Graph-Based Optimization Modeling Language: A Tutorial. Eprint/Working paper retrieved from https://orbi.uliege.be/2268/256705. |
| Ernst, D. (2020). AI for energy: a bright and uncertain future ahead. Paper presented at AI4Energy - Kickoff meeting, Belgium. |
| Ernst, D., Fettweis, X., Fonder, M., & Louis, J. (2020). Extreme engineering for fighting climate change and the Katabata project. |
| Theunis, L., & Ernst, D. (2020). Les e-fuels, des carburants dans le vent. Daily Science. |
| Ernst, D. (2020). Projet MeryGrid. Contrôle centralisé de communautés à énergies renouvelables avec batterie (CER). Paper presented at Réunion technique du projet Merygrid 2, Liège, Belgium. |
| 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 presented at 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS 2020), Liège, Belgium. |
| De Salle, C., & Ernst, D. (2020). Comment le système politique chinois a favorisé la pandémie. Le Point. |
| 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. |
| Ernst, D. (2020). La transition énergétique peut réunir tous les Belges. L'Echo. |
| Lahaye, C., & Ernst, D. (2020). Les voitures électriques bientôt majoritaires. Paris Match Belgique, p. 88-89. |
| Ernst, D. (2020). Big infrastructures for fighting climate change. Paper presented at 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 presented at 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. Peer reviewed |
| 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. |
| 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 presented at CIRED 2019, Madrid, Spain. |
| Ernst, D. (2019). Eléments pour une vision techno-optimiste de l’écologie. Paper presented at 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. |
| 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. Eprint/Working paper retrieved from https://orbi.uliege.be/2268/234542. |
| 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). Electric car: 697,612 km to become green! True or false? Eprint/Working paper retrieved from https://orbi.uliege.be/2268/233555. |
| Ernst, D. (2019). Voiture électrique : 697.612 km pour devenir verte ! Vrai ou faux ? Eprint/Working paper retrieved from https://orbi.uliege.be/2268/233554. |
| Ernst, D., & Fonteneau, R. (2019). Un réseau électrique mondial et basé sur les renouvelables, ce n’est plus de la science-fiction. The Conversation. |
| 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. (2019). Décret favorisant le développement des communautés d’énergie renouvelable. Paper presented at Transition énergétique : Consommateurs et réseaux, Liège, Belgium. |
| Manuel de Villena Millan, M., Fonteneau, R., & Ernst, D. (2019). Tariff simulator. Paper presented at Transition énergétique : Consommateurs et réseaux, Liège, Belgium. |
| Renard, H., & Ernst, D. (2019). Energiespecialist Damien Ernst: 'We hoeven helemaal niet minder energie te verbruiken'. Knack. |
| 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 presented at Soirée des Grands Prix SEE, Paris, France. |
| Ernst, D. (2018). Reinforcement learning, energy systems and deep neural nets. Paper presented at PGMO Days, EDF'Lab Paris-Saclay, France. |
| Vanrykel, F., Ernst, D., & Bourgeois, M. (September 2018). Regulatory Challenges for Share&Charge Models. Network Industries Quarterly, 20 (3), 17-21. Peer reviewed |
| Petitet, M., Perrot, M., Mathieu, S., Ernst, D., & Phulpin, Y. (2018). On the efficiency of decentralized decision-making in self-dispatch power systems. Eprint/Working paper retrieved from https://orbi.uliege.be/2268/227744. |
| Scharff, C., & Ernst, D. (2018). Le projet énergétique à 100 milliards de Damien Ernst. L'Echo. |
| Vanrykel, F., Ernst, D., & Bourgeois, M. (22 June 2018). Fostering Share&Charge through Proper Regulation. Paper presented at 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 presented at 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: design and recommendations (additional work). In CIRED Workshop 2018 Ljubljana, Slovania. Peer reviewed |
| Vangulick, D., Cornélusse, B., & Ernst, D. (2018). Blockchain for peer-to-peer energy exchanges: Probabilistic approach of Proof of Stake. In CIRED WORKSHOP 2018. Peer reviewed |
| 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. Peer reviewed |
| 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). Peer reviewed |
| Boukas, I., Ernst, D., & Cornélusse, B. (2018). Real-Time Bidding Strategies from Micro-Grids Using Reinforcement Learning. In Proceedings of CIRED Workshop 2018. Peer reviewed |
| 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. Peer reviewed |
| Cornélusse, B., Ernst, D., & Lachi, S. (2018). Optimal operation and fair profit allocation in community microgrids. In Proceedings of CIRED Workshop 2018. Peer reviewed |
| Ernst, D. (2018). Reinforcement learning: a generic tool for solving sequential decision-making problems for electrical systems. Paper presented at Artificial intelligence in the electrical system: Its applications, potentials and dangers, Brussels, Belgium. |
| 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. Peer reviewed |
| Ernst, D. (2018). Projet de décret « GRD »: quelques remarques du Prof. Damien ERNST. Paper presented at Commission de l'énergie du Parlement de Wallonie, Namur, Belgium. |
| Ernst, D. (2017). Time to make a choice between a fully liberal or fully regulated model for the electrical industry. Paper presented at Regards croisés sur la transition énergétique, Louvain-la-Neuve, Belgium. |
| Ernst, D. (2017). Electrification and DRC. Paper presented at 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. Eprint/Working paper retrieved from https://orbi.uliege.be/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. Eprint/Working paper retrieved from https://orbi.uliege.be/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. Peer reviewed |
| 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 Peer reviewed |
| Ernst, D. (2017). Energy: the clash of nations. |
| Sury, C., & Ernst, D. (2017). Questions d'argent - Damien Ernst. L'Echo. |
| Ernst, D. (2017). Uber-like Models for the Electrical Industry. Paper presented at EVENT Powerdale, Brussels, Belgium. |
| Scharff, C., & Ernst, D. (2017). Les batteries vont bouleverser notre quotidien. L'Echo. |
| Cornélusse, B., & Ernst, D. (2017). GREDOR. Outcomes and recommendations. University of Liège. |
| 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., Vasquez-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 presented at 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). Peer reviewed |
| 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. |
| Ernst, D. (2016). The Green Grid Network and Trading Renewable Energy. Paper presented at 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 presented at 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 presented at ournée d’étude "Stockage de l’électricité : réel bouleversement ?", Liège, Belgium. |
| Ernst, D. (2016). La transition énergétique, l’affaire de tous. Paper presented at Soirée de lancement de la saison 2016-2017 de Liège Créative, Liège, Belgium. |
| Aittahar, S., Sootla, A., & Ernst, D. (Other coll.). (19 September 2016). Policy transfer using Value Function as Prior Information. Paper presented at Phd Forum, Riva del Garda, Italy. |
| Bouffioux, M., & Ernst, D. (2016). Ces robots qui pourraient nous vouloir du mal. Paris Match, p. 70-71. |
| Ernst, D. (2016). Integration of renewable energy sources and demand-side management into distribution networks. Paper presented at 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 presented at Conference on Capacity Remuneration Mechanisms, Brussels, Belgium. |
| Ernst, D. (2016). Smart Grids versus Microgrids. |
| 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. Peer reviewed |
| 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. Peer reviewed |
| Ernst, D. (2016). The Rise of Artificial Intelligence. |
| Ernst, D. (2016). COP21 and Electrical Systems. Paper presented at 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. Peer reviewed |
| Ernst, D. (2016). TPCV versus gouvernement(s) et gestionnaires de réseaux: décodage. Paper presented at Assemblée générale "Touche pas à mes certificats verts", Marche-en-Famenne, Belgium. |
| Ernst, D., & Hermans, M. (2016). Mer ou RER : faut-il vraiment 10 milliards d'argent public pour l'éolien offshore ? Le Vif. L'Express. |
| 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 presented at First Seminar on Demand Response, Brussels, Belgium. |
| Ernst, D., & Hermans, M. (2016). Israël, vainqueur involontaire des guerres islamistes. Le Vif. L'Express. |
| 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. Peer reviewed |
| Ernst, D. (2015). The GREDOR project. Redesigning the decision chain for managing distribution networks. Paper presented at Grid+Storage Workshop, Lille, France. |
| Ernst, D. (2015). Global Grid(s) versus Microgrids. Paper presented at 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 presented at Parlement wallon - commission énergie, Namur, Belgium. |
| Hermans, M., & Ernst, D. (2015). Arabie saoudite et Etats-Unis: un divorce annoncé. Le Vif. L'Express. |
| Ernst, D. (2015). An economic case for transnational and international transmission. Paper presented at International Energy & Climate Forum, Lucerne, Switzerland. |
| 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. Peer reviewed |
| 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. Peer reviewed |
| 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. Peer reviewed |
| Ernst, D. (2015). The global grid for empowering renewable energy. Paper presented at 2015 TEDx Liège - Moonshot Edition - Crazy Ideas that Change the World, Liège, Belgium. |
| 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 presented at 12th International Conference on the European Energy Market - EEM 2015, Lisbon, Portugal. |
| 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. |
| Ernst, D. (2014). Blackouts: des vérités qui dérangent. |
| 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). Peer reviewed |
| 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). Peer reviewed |
| 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. Peer reviewed |
| 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. Peer reviewed |
| 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. Peer reviewed |
| 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. Peer reviewed |
| 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. Peer reviewed |
| Ernst, D. (2014). Microgrids and their destructuring effects on the electrical industry. |
| 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., 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). Peer reviewed |
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 presented at Conseil Economique et Social de Wallonie (CESW), Liège, Belgium. |
| Ernst, D. (2013). GREDOR. |
| Ernst, D. (2013). Smart conversion of residual heat into electricity: the electricity market point of view. Paper presented at Restwarmterecuperatie - iets voor uw bedrijf?, ArcelorMittal-Gent, Belgium. |
| 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). Meta-learning of exploration-exploitation strategies in reinforcement learning. |
| Ernst, D. (2013). Understanding active network management in 30 minutes. Paper presented at 9ème RENDEZ-VOUS ANNUEL DU SOLAIRE PHOTOVOLTAIQUE, Namur, Belgium. |
| Ernst, D. (2013). Solving the fluctuation problems in a land with 100% of renewable energy. |
| 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. Peer reviewed |
| 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). Peer reviewed |
| Jung, T., & Ernst, D. (07 December 2012). Biorthogonalization Techniques for Least Squares Temporal Difference Learning. Poster session presented at Neural Information Processing Systems (NIPS), South Lake Tahoe, NV, United States. |
| Ernst, D. (2012). Batch mode reinforcement learning based on the synthesis of artificial trajectories. |
| 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 session presented at DYSCO Study Day : Dynamical systems, control and optimization Kickoff of phase VII. |
| Jung, T., Martin, S., Ernst, D., & Leduc, G. (2012). Contextual Multi-armed Bandits for the Prevention of Spam in VoIP Networks. Eprint/Working paper retrieved from https://orbi.uliege.be/2268/115524. |
Dethier, J., Ernst, D., & Sepulchre, R. (28 May 2012). Rhythms in Neuromorphic Reinforcement Learning. Poster session presented at 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). Peer reviewed |
| Dethier, J., Ernst, D., & Sepulchre, R. (29 March 2012). Neuromorphic reinforcement learning. Paper presented at 31st Benelux Meeting on Systems and Control, Heijen, Netherlands. |
| 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). Peer reviewed |
| Fonteneau, R., Ernst, D., Boigelot, B., & Louveaux, Q. (2012). Min max generalization for two-stage deterministic batch mode reinforcement learning: relaxation schemes. |
| Ernst, D. (2012). Multi-terminal HVDC systems and ancillary services. Paper presented at Franco-Taiwanese workshop on Energy Management, Tainan, Taiwan. |
| 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 Peer reviewed |
| 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). Peer reviewed |
| 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. Peer reviewed |
| 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). Peer reviewed |
| 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. Peer reviewed |
| 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). Peer reviewed |
| 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). Peer reviewed |
| 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. Peer reviewed |
| Ernst, D. (2010). Beyond function approximators for batch mode reinforcement learning: rebuilding trajectories. Paper presented at Learning and Planning from Batch Time Series Data”, NIPS 2010, Whistler, Canada. |
| Ernst, D. (2010). Model-free Monte Carlo-like policy evaluation. Paper presented at Journées MAS 201, Bordeaux, France. |
| Ernst, D. (2010). Consequence driven decomposition of large-scale power systems security analysis. Paper presented at 2010 IREP Symposium - Bulk Power Systems Dynamics and Control - VIII, Buzios, Rio de Janeiro, Brazil. |
| 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 Peer reviewed |
| 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). Peer reviewed |
| 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. Peer reviewed |
| Fonteneau, R., Murphy, S. A., Wehenkel, L., & Ernst, D. (2010). Computing bounds for kernel-based policy evaluation in reinforcement learning. University of Liège. |
| Fonteneau, R., & Ernst, D. (2010). Voronoi model learning for batch mode reinforcement learning. University of Liège. |
| 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. Peer reviewed |
| 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. Peer Reviewed verified by ORBi |
| Ernst, D. (2009). Lower bounds in reinforcement learning: the intelligent agent dream is getting closer. Paper presented at The Netherlands, Control Group, TU Delft, Netherlands. |
| 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". Peer reviewed |
| 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. Peer reviewed |
| Fonteneau, R., Murphy, S. A., Wehenkel, L., & Ernst, D. (2009). Dynamic treatment regimes using reinforcement learning: a cautious generalization approach. Poster session presented at Benelux Bioinformatics Conference (BBC 2009), Liège, Belgium. |
| 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. Peer reviewed |
| Ernst, D. (2008). A reinforcement learning approach for designing artificial autonomous intelligent agents. Paper presented at 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). Peer reviewed |
| Fonteneau, R., Wehenkel, L., & Ernst, D. (2008). Variable selection for dynamic treatment regimes: a reinforcement learning approach. Paper presented at 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. Peer reviewed |
| 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). Peer reviewed |
| Defourny, B., Ernst, D., & Wehenkel, L. (2008). Risk-aware decision making and dynamic programming. Paper presented at NIPS-08 Workshop on Model Uncertainty and Risk in Reinforcement Learning, Whistler, Canada. |
| 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). Peer reviewed |
| 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 session presented at Benelux Bioinformatics Conference (BBC 2007), Leuven, Belgium. |
| 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. Peer Reviewed verified by ORBi |
| Ernst, D. (2006). Computing near-optimal policies from trajectories by solving a sequence of standard supervised learning problems. |
| 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. Peer reviewed |
| 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). Peer reviewed |
| 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. Peer reviewed |
| 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. Peer reviewed |
| 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. Peer reviewed |
| 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. Peer reviewed |
| Ernst, D. (2005). Supervised learning based sequential decision making. Paper presented at Optimization frameworks for industrial applications, Paris, France. |
| 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). Peer reviewed |
| 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. |
| 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). Peer reviewed |
| 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. Peer reviewed |
| 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. Peer reviewed |
| Ernst, D. (2003). Near Optimal Closed-Loop Control. Application to Electric Power Systems. Unpublished doctoral thesis, ULiège - Université de Liège. Jury: Wehenkel, L. (Promotor), Pavella, M., Sepulchre, R., Van Cutsem, T., Rousseaux, P., Dobson, I., Handschin, E., ... Gevers, M. |
| 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). Peer reviewed |
| 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). Peer reviewed |
| Ernst, D. (2000). Preventive and emergency transient stability control. Paper presented at VII Symposium of Specialists in Electric Operational and Expansion Planning (SEPOPE 2000), Curitiba, Brazil. |
| 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). Peer reviewed |
| 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). Peer reviewed |
| 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. |
| 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. Peer reviewed |
| 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). Peer reviewed |
| Ernst, D., Bettiol, A., Zhang, Y., Wehenkel, L., & Pavella, M. (1998). Compensation schemes for transient stability assessment and control. In Proceedings of LESCOPE 98 (pp. 225-230). Peer reviewed |
| Ernst, D., Bettiol, A., Zhang, Y., Wehenkel, L., & Pavella, M. (1998). Real-time transient stability emergency control of the South-Southeast Brazilian system. In Proceedings of SEPOPE 1998. |
| Pavella, M., Wehenkel, L., Bettiol, A., & Ernst, D. (1997). An approach to real-time transient stability assessment and control. In Techniques for stability limit search - Publication IEEE : TP-138-0. Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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). Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| Vanrykel, F., Ernst, D., & Bourgeois, M. (2018). Fostering Share&Charge through proper regulation. Competition and Regulation in Network Industries. doi:10.1177/1783591718809576 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| Zima, M., & Ernst, D. (2005). On multi-area control in electric power systems. In Proceedings of the 15th Power System Computation Conference (PSCC 2005). Peer reviewed |
| 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). Peer reviewed |
| 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). Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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. Peer reviewed |
| 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 Peer reviewed |
| 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). Peer reviewed |
| 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). Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| Ernst, D. (2006). Clinical data based optimal STI strategies for HIV: a reinforcement learning approach. |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer reviewed |
| Castronovo, M., Ernst, D., Couëtoux, A., & Fonteneau, R. (2016). Benchmarking for Bayesian Reinforcement Learning. PLoS ONE. doi:10.1371/journal.pone.0157088 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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. Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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. doi:10.1109/PESGM41954.2020.9282036 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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. Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| Maes, F., Wehenkel, L., & Ernst, D. (2011). Optimized look-ahead tree policies. In Proceedings of the 9th European Workshop on Reinforcement Learning (EWRL 2011). Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| Geurts, P., Ernst, D., & Wehenkel, L. (April 2006). Extremely randomized trees. Machine Learning, 63 (1), 3-42. doi:10.1007/s10994-006-6226-1 Peer Reviewed verified by ORBi |
| 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. Peer reviewed |
| 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). Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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). Peer reviewed |
| 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 Peer reviewed |
| 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). Peer reviewed |
| 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). Peer reviewed |
| 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). Peer reviewed |
| 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. Peer reviewed |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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). Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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. Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer reviewed |
| Chatzivasileiadis, S., Ernst, D., & Andersson, G. (September 2013). The global grid. Renewable Energy, 57, 372-383. doi:10.1016/j.renene.2013.01.032 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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). Peer reviewed |
| 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. Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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 Peer reviewed |
| 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). Peer reviewed |
| 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). Peer reviewed |
| Ernst, D., Geurts, P., & Wehenkel, L. (April 2005). Tree-based batch mode reinforcement learning. Journal of Machine Learning Research, 6, 503-556. Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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). Peer reviewed |
| 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). Peer reviewed |
| Busoniu, L., Babuska, R., De Schutter, B., & Ernst, D. (2010). Reinforcement Learning and Dynamic Programming using Function Approximators. CRC Press. doi:10.1201/9781439821091 |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer Reviewed verified by ORBi |
| 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 Peer reviewed |
| 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 Peer Reviewed verified by ORBi |
