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 | 97 | 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 | 89 | 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 | 88 | 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 | 72 | 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 | 70 | 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 | 58 | 2017 |

Reinforcement learning for electricity network operation A Kelly, A O'Sullivan, P de Mars, A Marot arXiv preprint arXiv:2003.07339, 2020 | 40 | 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 | 31 | 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 | 31 | 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 | 28 | 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 | 24 | 2020 |

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 | 22 | 2018 |

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 | 21* | 2022 |

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 |

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 | 18 | 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 | 17 | 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 | 17 | 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 | 15 | 2020 |

Adversarial training for a continuous robustness control problem in power systems L Omnes, A Marot, B Donnot 2021 IEEE Madrid PowerTech, 1-6, 2021 | 14 | 2021 |

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 | 11 | 2023 |