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 | 83 | 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 | 83 | 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 | 80 | 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 | 69 | 2021 |

Introducing machine learning for power system operation support B Donnot, I Guyon, M Schoenauer, P Panciatici, A Marot arXiv preprint arXiv:1709.09527, 2017 | 57 | 2017 |

Fast power system security analysis with guided dropout B Donnot, I Guyon, M Schoenauer, A Marot, P Panciatici arXiv preprint arXiv:1801.09870, 2018 | 29 | 2018 |

Grid2op-A testbed platform to model sequential decision making in power systems B Donnot GitHub repository, 2020 | 28 | 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 | 26 | 2022 |

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 | 25 | 2021 |

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 |

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 | 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 | 16 | 2020 |

Deep learning methods for predicting flows in power grids: novel architectures and algorithms B Donnot Université Paris Saclay (COmUE), 2019 | 16 | 2019 |

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 | 16 | 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 |

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 | 15 | 2018 |

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 |

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 | 11 | 2022 |

LEAP nets for power grid perturbations B Donnot, B Donon, I Guyon, Z Liu, A Marot, P Panciatici, M Schoenauer arXiv preprint arXiv:1908.08314, 2019 | 11 | 2019 |

LIPS-learning industrial physical simulation benchmark suite M LEYLI ABADI, A Marot, J Picault, D Danan, M Yagoubi, B Donnot, ... Advances in Neural Information Processing Systems 35, 28095-28109, 2022 | 9 | 2022 |