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Bertrand Cornélusse
Bertrand Cornélusse
Assistant Professor, Université de Liège
Verified email at ulg.ac.be - Homepage
Title
Cited by
Cited by
Year
A community microgrid architecture with an internal local market
B Cornélusse, I Savelli, S Paoletti, A Giannitrapani, A Vicino
Applied Energy 242, 547-560, 2019
1212019
Residential heat pump as flexible load for direct control service with parametrized duration and rebound effect
E Georges, B Cornélusse, D Ernst, V Lemort, S Mathieu
Applied Energy 187, 140-153, 2017
782017
Design and real-time test of a hybrid energy storage system in the microgrid with the benefit of improving the battery lifetime
J Li, R Xiong, H Mu, B Cornélusse, P Vanderbemden, D Ernst, W Yuan
Applied energy 218, 470-478, 2018
732018
Blockchain for peer-to-peer energy exchanges: design and recommendations
D Vangulick, B Cornélusse, D Ernst
2018 Power Systems Computation Conference (PSCC), 1-7, 2018
692018
A deep generative model for probabilistic energy forecasting in power systems: normalizing flows
J Dumas, A Wehenkel, D Lanaspeze, B Cornélusse, A Sutera
Applied Energy 305, 117871, 2022
592022
A deep reinforcement learning framework for continuous intraday market bidding
I Boukas, D Ernst, T Théate, A Bolland, A Huynen, M Buchwald, ...
Machine Learning 110, 2335-2387, 2021
552021
Active network management for electrical distribution systems: problem formulation, benchmark, and approximate solution
Q Gemine, D Ernst, B Cornélusse
Optimization and Engineering 18, 587-629, 2017
522017
Active network management: planning under uncertainty for exploiting load modulation
Q Gemine, E Karangelos, D Ernst, B Cornélusse
2013 IREP Symposium Bulk Power System Dynamics and Control-IX Optimization …, 2013
372013
A new approach to electricity market clearing with uniform purchase price and curtailable block orders
I Savelli, B Cornélusse, A Giannitrapani, S Paoletti, A Vicino
Applied energy 226, 618-630, 2018
352018
Lifelong control of off-grid microgrid with model-based reinforcement learning
S Totaro, I Boukas, A Jonsson, B Cornélusse
Energy 232, 121035, 2021
302021
A SC/battery hybrid energy storage system in the microgrid
J Li, B Cornelusse, P Vanderbemden, D Ernst
Energy Procedia 142, 3697-3702, 2017
252017
A quantitative analysis of the effect of flexible loads on reserve markets
S Mathieu, Q Louveaux, D Ernst, B Cornélusse
2014 Power Systems Computation Conference, 1-7, 2014
252014
Probabilistic forecasting of imbalance prices in the Belgian context
J Dumas, I Boukas, MM de Villena, S Mathieu, B Cornélusse
2019 16th International Conference on the European Energy Market (EEM), 1-7, 2019
222019
DSIMA: A testbed for the quantitative analysis of interaction models within distribution networks
S Mathieu, Q Louveaux, D Ernst, B Cornélusse
Sustainable Energy, Grids and Networks 5, 78-93, 2016
192016
Efficient management of a connected microgrid in Belgium
B Cornélusse, D Ernst, L Warichet, W Legros
24th International Conference on Electricity Distribution, 2017
162017
Intra-day bidding strategies for storage devices using deep reinforcement learning
I Boukas, D Ernst, A Papavasiliou, B Cornélusse
15th international conference on the European energy market, 2018
152018
Relaxations for multi-period optimal power flow problems with discrete decision variables
Q Gemine, D Ernst, Q Louveaux, B Cornélusse
2014 Power Systems Computation Conference, 1-7, 2014
152014
Sizing and operation of an isolated microgrid with building thermal dynamics and cold storage
S Dakir, I Boukas, V Lemort, B Cornélusse
IEEE Transactions on Industry Applications 56 (5), 5375-5384, 2020
142020
A probabilistic forecast-driven strategy for a risk-aware participation in the capacity firming market
J Dumas, C Cointe, A Wehenkel, A Sutera, X Fettweis, B Cornélusse
IEEE Transactions on Sustainable Energy 13 (2), 1234-1243, 2021
132021
Deep learning-based multi-output quantile forecasting of PV generation
J Dumas, C Cointe, X Fettweis, B Cornélusse
2021 IEEE Madrid PowerTech, 1-6, 2021
132021
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