| Neural networks for power flow: Graph neural solver B Donon, R Clément, B Donnot, A Marot, I Guyon, M Schoenauer Electric Power Systems Research 189, 106547, 2020 | 119 | 2020 |
| Learning to run a power network challenge for training topology controllers A Marot, B Donnot, C Romero, B Donon, M Lerousseau, L Veyrin-Forrer, ... Electric Power Systems Research 189, 106635, 2020 | 101 | 2020 |
| Graph neural solver for power systems B Donon, B Donnot, I Guyon, A Marot 2019 international joint conference on neural networks (ijcnn), 1-8, 2019 | 96 | 2019 |
| Learning to run a power network challenge: a retrospective analysis A Marot, B Donnot, G Dulac-Arnold, A Kelly, A O’Sullivan, J Viebahn, ... NeurIPS 2020 Competition and Demonstration Track, 112-132, 2021 | 93 | 2021 |
| Perspectives on future power system control centers for energy transition A Marot, A Kelly, M Naglic, V Barbesant, J Cremer, A Stefanov, J Viebahn Journal of Modern Power Systems and Clean Energy 10 (2), 328-344, 2022 | 90 | 2022 |
| Introducing machine learning for power system operation support B Donnot, I Guyon, M Schoenauer, P Panciatici, A Marot arXiv preprint arXiv:1709.09527, 2017 | 60 | 2017 |
| Reinforcement learning for electricity network operation A Kelly, A O'Sullivan, P de Mars, A Marot arXiv preprint arXiv:2003.07339, 2020 | 44 | 2020 |
| Learning to run a power network with trust A Marot, B Donnot, K Chaouache, A Kelly, Q Huang, RR Hossain, ... Electric Power Systems Research 212, 108487, 2022 | 39 | 2022 |
| Fast power system security analysis with guided dropout B Donnot, I Guyon, M Schoenauer, A Marot, P Panciatici arXiv preprint arXiv:1801.09870, 2018 | 32 | 2018 |
| Exploring grid topology reconfiguration using a simple deep reinforcement learning approach M Subramanian, J Viebahn, SH Tindemans, B Donnot, A Marot 2021 IEEE Madrid PowerTech, 1-6, 2021 | 31 | 2021 |
| Deep statistical solvers B Donon, Z Liu, W Liu, I Guyon, A Marot, M Schoenauer Advances in Neural Information Processing Systems 33, 7910-7921, 2020 | 28 | 2020 |
| Towards an AI assistant for power grid operators A Marot, A Rozier, M Dussartre, L Crochepierre, B Donnot HHAI2022: Augmenting Human Intellect, 79-95, 2022 | 26* | 2022 |
| Expert system for topological remedial action discovery in smart grids A Marot, B Donnot, S Tazi, P Panciatici Mediterranean Conference on Power Generation, Transmission, Distribution and …, 2018 | 26 | 2018 |
| Anticipating contingengies in power grids using fast neural net screening B Donnot, I Guyon, M Schoenauer, A Marot, P Panciatici 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 21 | 2018 |
| Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents M Lehna, J Viebahn, A Marot, S Tomforde, C Scholz Energy and AI 14, 100276, 2023 | 20 | 2023 |
| Guided machine learning for power grid segmentation A Marot, S Tazi, B Donnot, P Panciatici 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT …, 2018 | 20 | 2018 |
| Leap nets for system identification and application to power systems B Donon, B Donnot, I Guyon, Z Liu, A Marot, P Panciatici, M Schoenauer Neurocomputing 416, 316-327, 2020 | 18 | 2020 |
| Optimization of computational budget for power system risk assessment B Donnot, I Guyon, A Marot, M Schoenauer, P Panciatici 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT …, 2018 | 18 | 2018 |
| L2rpn: Learning to run a power network in a sustainable world neurips2020 challenge design A Marot, I Guyon, B Donnot, G Dulac-Arnold, P Panciatici, M Awad, ... Réseau de Transport d’Électricité, Paris, France, White Paper, 2020 | 16 | 2020 |
| Potential and challenges of AI-powered decision support for short-term system operations J Viebahn, M Naglic, A Marot, B Donnot, SH Tindemans CIGRE Session 2022, 2022 | 14 | 2022 |