Ewbank, B.* , Colot, A.* , Cornélusse, B., & Glavic, M. (2024). A C-HIL based data-driven DC-DC power electronics converter model for system-level studies. In 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). Grenoble, France: IEEE. * These authors have contributed equally to this work. |
Bailly, G., Cornet, M., Glavic, M., & Cornélusse, B. (2023). A one-leader multi-follower approach to distribution network development planning. IEEE PES Innovative Smart Grid Technologies Conference Europe. doi:10.1109/isgteurope56780.2023.10408702 |
Bailly, G., Cornet, M., Glavic, M., & Cornélusse, B. (October 2023). A one-leader multi-follower approach to distribution network development planning (Pre-publication) [Paper presentation]. IEEE PES ISGT EUROPE 2023, Grenoble, France. |
Colot, A., Bastin Bertrand, Ewbank, B., Frebel, F., Bidaine, B., & Cornélusse, B. (2023). Hybrid power solution modelling based on artificial intelligence [Paper presentation]. CIRED2023, Rome, Italy. doi:10.1049/icp.2023.0900 |
Dumas, J., Dubois, A., Thiran, P., Jacques, P., Contino, F., Cornélusse, B., & Limpens, G. (2022). The energy return on investment of whole energy systems: application to Belgium. Biophysical Economics and Sustainability. doi:10.48550/arXiv.2205.06727 |
Colot, A., Giannitrapani, A., Paoletti, S., & Cornélusse, B. (31 March 2022). Enhanced neural network-based polytopic model for large-signal black-box modeling of power electronic converters [Paper presentation]. PowerTech2023. doi:10.1109/PowerTech55446.2023.10202812 |
Dumas, J., Wehenkel, A., Lanaspeze, D., Cornélusse, B., & Sutera, A. (01 January 2022). A deep generative model for probabilistic energy forecasting in power systems: normalizing flows. Applied Energy, 305, 117-871. doi:10.1016/j.apenergy.2021.117871 |
Dumas, J., Cointe, C., Wehenkel, A., Sutera, A., Fettweis, X., & Cornélusse, B. (2021). A Probabilistic Forecast-Driven Strategy for a Risk-Aware Participation in the Capacity Firming Market. IEEE Transactions on Sustainable Energy. doi:10.1109/TSTE.2021.3117594 |
Dumas, J., Cornélusse, B., Fettweis, X., Giannitrapani, A., Paoletti, S., & Vicino, A. (2021). Probabilistic forecasting for sizing in the capacity firming framework. In 2021 IEEE Madrid PowerTech. doi:10.1109/PowerTech46648.2021.9494947 |
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 |
Dumas, J., cointe, C., Fettweis, X., & Cornélusse, B. (2021). Deep learning-based multi-output quantile forecasting of PV generation. In 2021 IEEE Madrid PowerTech. doi:10.1109/PowerTech46648.2021.9494976 |
Dumas, J., Dakir, S., Liu, C., & Cornélusse, B. (2021). Coordination of operational planning and real-time optimization in microgrids. Electric Power Systems Research. doi:10.1016/j.epsr.2020.106634 |
Totaro, S., Boukas, I., Jonsson, A., & Cornélusse, B. (2021). Lifelong control of off-grid microgrid with model-based reinforcement learning. Energy, 232. doi:10.1016/j.energy.2021.121035 |
Dumas, J., Cornélusse, B., Giannitrapani, A., Paoletti, S., & Vicino, A. (2020). Stochastic and deterministic formulations for capacity firming nominations. In 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). doi:10.1109/PMAPS47429.2020.9183646 |
Dakir, S., El Mekki, S., & Cornélusse, B. (2020). On the number of representative days for sizing microgrids with an industrial load profile. In PMAPS Liège 2020 Proceedings. |
Boukas, I., El Mekki, S., & Cornélusse, B. (2019). Data-driven Parameterized Policies for Microgrid Control. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/240141. |
Duchesne, L., Savelli, I., & Cornélusse, B. (2019). Sensitivity Analysis of a Local Market Model for Community Microgrids. In PowerTech Milano 2019 Proceedings. doi:10.1109/PTC.2019.8810614 |
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 |
Cornélusse, B., Savelli, I., Paoletti, S., Giannitrapani, A., & Vicino, A. (2019). A community microgrid architecture with an internal local market. Applied Energy, 242, 547-560. doi:10.1016/j.apenergy.2019.03.109 |
Dumas, J., Boukas, I., Manuel de Villena Millan, M., Mathieu, S., & Cornélusse, B. (2019). Probabilistic Forecasting of Imbalance Prices in the Belgian Context. In 2019 16th International Conference on the European Energy Market (EEM). doi:10.1109/EEM.2019.8916375 |
Dumas, J., & Cornélusse, B. (2018). Classification of load forecasting studies by forecasting problem to select load forecasting techniques and methodologies. (arXiv version). ORBi-University of Liège. https://orbi.uliege.be/handle/2268/231948. |
Savelli, I., Cornélusse, B., Giannitrapani, A., Paoletti, S., & Vicino, A. (15 September 2018). A New Approach to Electricity Market Clearing With Uniform Purchase Price and Curtailable Block Orders. Applied Energy, Volume 226, 618–630. doi:10.1016/j.apenergy.2018.06.003 |
Vangulick, D., Cornélusse, B., & Ernst, D. (2018). Blockchain for peer-to-peer energy exchanges: Probabilistic approach of Proof of Stake. In CIRED WORKSHOP 2018. |
Vangulick, D., Cornélusse, B., & Ernst, D. (2018). Blockchain for peer-to-peer energy exchanges: design and recommendations (additional work). In CIRED Workshop 2018 Ljubljana, Slovania. |
Boukas, I., Ernst, D., & Cornélusse, B. (2018). Real-Time Bidding Strategies from Micro-Grids Using Reinforcement Learning. In Proceedings of CIRED Workshop 2018. |
Boukas, I., Ernst, D., Papavasiliou, A., & Cornélusse, B. (2018). Intra-day Bidding Strategies for Storage Devices Using Deep Reinforcement Learning. In International Conference on the European Energy Market, Łódź 27-29 June 2018 (pp. 6). |
Cornélusse, B., Ernst, D., & Lachi, S. (2018). Optimal operation and fair profit allocation in community microgrids. In Proceedings of CIRED Workshop 2018. |
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 |
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 |
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 |
Cornélusse, B. (06 September 2017). Optimization and machine learning for smart-microgrids [Paper presentation]. 5th Microgrid global innovation forum (EMEA, Asia-PAC, Latin America). |
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 |
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 |
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 |
Cornélusse, B., & Ernst, D. (2017). GREDOR. Outcomes and recommendations. University of Liège. |
Li, J., Cornélusse, B., Vanderbemden, P., & Ernst, D. (2017). A SC/battery Hybrid Energy Storage System in the Microgrid. Energy Procedia, 142, 3697–3702. doi:10.1016/j.egypro.2017.12.264 |
Mathieu, S., Ernst, D., & Cornélusse, B. (2017). Agent-based analysis of dynamic access ranges to the distribution network. In Proceedings of the 6th European Innovative Smart Grid Technologies (ISGT). doi:10.1109/ISGTEurope.2016.7856191 |
Yang, Q., Le Blond, S., Cornélusse, B., Vanderbemden, P., & Li, J. (2017). A Novel Fault Detection and Fault Location Method for VSC-HVDC Links Based on Gap Frequency Spectrum Analysis. Energy Procedia, 142, 2243-2249. doi:10.1016/j.egypro.2017.12.625 |
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 |
Gemine, Q., Cornélusse, B., Glavic, M., Fonteneau, R., & Ernst, D. (2016). A Gaussian mixture approach to model stochastic processes in power systems. In Proceedings of the 19th Power Systems Computation Conference (PSCC'16). doi:10.1109/PSCC.2016.7540921 |
Georges, E., Cornélusse, B., Ernst, D., Louveaux, Q., Lemort, V., & Mathieu, S. (2016). Direct control service from residential heat pump aggregation with specified payback. In Proceedings of the 19th Power Systems Computation Conference (PSCC). doi:10.1109/PSCC.2016.7540835 |
Cornélusse, B., Vangulick, D., Glavic, M., & Ernst, D. (2016). Further validation and extensions of the Global Capacity ANnouncement procedure for distribution systems. In CIRED Workshop Proceedings, Helsinki 14-15 June 2016. |
Cornélusse, B., & Fonteneau, R. (02 February 2016). Artificial Intelligence and Energy [Paper presentation]. Liège Créative. |
Georges, E., Cornélusse, B., Ernst, D., Lemort, V., & Mathieu, S. (26 January 2016). Residential heat pumps as flexible loads for direct control service with constrained payback [Paper presentation]. First Seminar on Demand Response, Brussels, Belgium. |
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 |
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 |
Cornélusse, B., Leroux, A., Glavic, M., & Ernst, D. (2015). Graph matching for reconciling SCADA and GIS of a distribution network. In Proceedings of the International Conference on Electricity Distribution, CIRED 2015. |
Cornélusse, B., Vangulick, D., Glavic, M., & Ernst, D. (2015). A process to address electricity distribution sector challenges: the GREDOR project approach. In Proceedings of the International Conference on Electricity Distribution, CIRED 2015. |
Mathieu, S., Ernst, D., & Cornélusse, B. (2015). Macroscopic analysis of interaction models for the provision of flexibility in distribution systems. In Proceedings of the International Conference on Electricity Distribution, CIRED 2015. |
Gemine, Q., Ernst, D., Louveaux, Q., & Cornélusse, B. (2014). Relaxations for multi-period optimal power flow problems with discrete decision variables. In Proceedings of the 18th Power Systems Computation Conference (PSCC'14). doi:10.1109/PSCC.2014.7038396 |
Mathieu, S., Louveaux, Q., Ernst, D., & Cornélusse, B. (2014). A quantitative analysis of the effect of flexible loads on reserve markets. In Proceedings of the 18th Power Systems Computation Conference (PSCC). doi:10.1109/PSCC.2014.7038428 |
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. |
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 |
Cornélusse, B. (2010). Supervised Learning for Sequential and Uncertain Decision Making Problems - Application to Short-Term Electric Power Generation Scheduling [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/82167 |
Cornélusse, B., Geurts, P., & Wehenkel, L. (12 December 2009). Tree based ensemble models regularization by convex optimization [Paper presentation]. NIPS-09 workshop on Optimization for Machine Learning, Whistler, Canada. |