| Energy Management for Microgrids: a Reinforcement Learning Approach T Levent, P Preux, E Le Pennec, J Badosa, G Henri, Y Bonnassieux IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 1-5, 2019 | 35 | 2019 |
| pymgrid: An Open-Source Python Microgrid Simulator for Applied Artificial Intelligence Research H Gonzague, L Tanguy, H Avishai, A Reda, C Philippe Tackling Climate Change with Machine Learning workshop at NeurIPS 2020, 2020 | 18* | 2020 |
| Marlyc: Multi-agent reinforcement learning yaw control E Kadoche, S Gourvénec, M Pallud, T Levent Renewable Energy 217, 119129, 2023 | 6 | 2023 |
| The challenge of controlling microgrids in the presence of rare events with deep reinforcement learning T Levent, P Preux, G Henri, R Alami, P Cordier, Y Bonnassieux IET Smart Grid 4 (1), 15-28, 2021 | 1 | 2021 |
| Method for controlling an electric microgrid G Henri, P Cordier, T Levent, P Preux, Y Bonnassieux US Patent App. 18/269,545, 2024 | | 2024 |
| A Robust Deterministic Energy Smart-Grid Decisional Algorithm for Agent-Based Management C Adam, G Henri, T Levent, JB Mauro, AL Mayet International Journal of Computer and Information Engineering 7 (9), 1235-1239, 2013 | | 2013 |
| A Local Decisional Algorithm Using Agent-Based Management in Constrained Energy Environment C Adam, G Henri, T Levent, JB Mauro, AL Mayet International Journal of Industrial and Manufacturing Engineering 7 (7 …, 2013 | | 2013 |
Philippe PreuxProfessor of computer science, Université de Lille, LIFL, SequeL, INRIA在 univ-lille.fr 的电子邮件经过验证
