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 | 77 | 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 | 76 | 2019 |

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 | 68 | 2020 |

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 | 61 | 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 | 56 | 2017 |

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 | 49 | 2022 |

Reinforcement learning for electricity network operation A Kelly, A O'Sullivan, P de Mars, A Marot arXiv preprint arXiv:2003.07339, 2020 | 34 | 2020 |

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 |

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 |

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 | 20 | 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 | 19 | 2021 |

Expert system for topological remedial action discovery in smart grids A Marot, B Donnot, S Tazi, P Panciatici IET Digital Library, 2018 | 19 | 2018 |

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 | 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 |

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 | 16 | 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 | 15 | 2020 |

Towards an AI assistant for power grid operators A Marot, A Rozier, M Dussartre, L Crochepierre, B Donnot arXiv preprint arXiv:2012.02026, 2020 | 14* | 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 | 13 | 2021 |

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, ... Tutorial5/pdf/111. pdf, 2020 | 13 | 2020 |

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 |