Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Donon, Balthazar"'
Autor:
Donon, Balthazar, Cubelier, François, Karangelos, Efthymios, Wehenkel, Louis, Crochepierre, Laure, Pache, Camille, Saludjian, Lucas, Panciatici, Patrick
Publikováno v:
In Electric Power Systems Research September 2024 234
Autor:
Marot, Antoine, Donnot, Benjamin, Romero, Camilo, Veyrin-Forrer, Luca, Lerousseau, Marvin, Donon, Balthazar, Guyon, Isabelle
For power grid operations, a large body of research focuses on using generation redispatching, load shedding or demand side management flexibilities. However, a less costly and potentially more flexible option would be grid topology reconfiguration,
Externí odkaz:
http://arxiv.org/abs/1912.04211
Autor:
Donnot, Benjamin, Donon, Balthazar, Guyon, Isabelle, Liu, Zhengying, Marot, Antoine, Panciatici, Patrick, Schoenauer, Marc
Publikováno v:
ESANN, Apr 2019, Bruges, Belgium
We propose a novel neural network embedding approach to model power transmission grids, in which high voltage lines are disconnected and reconnected with one-another from time to time, either accidentally or willfully. We call our architeture LEAP ne
Externí odkaz:
http://arxiv.org/abs/1908.08314
Autor:
Marot, Antoine, Donnot, Benjamin, Romero, Camilo, Donon, Balthazar, Lerousseau, Marvin, Veyrin-Forrer, Luca, Guyon, Isabelle
Publikováno v:
In Electric Power Systems Research December 2020 189
Autor:
Donon, Balthazar, Clément, Rémy, Donnot, Benjamin, Marot, Antoine, Guyon, Isabelle, Schoenauer, Marc
Publikováno v:
In Electric Power Systems Research December 2020 189
Autor:
Donon, Balthazar
Publikováno v:
Artificial Intelligence [cs.AI]. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPASG016⟩
Facing with the growing integration of intermittent renewable energies and disruptive market mechanisms, power systems are experiencing profound changes. To overcome this increasing complexity, RTE, the French Transmission System Operator, is investi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::fa6d599f8ec9a675ada17d46fba9183c
https://theses.hal.science/tel-03624628/document
https://theses.hal.science/tel-03624628/document
Autor:
Donon, Balthazar, Liu, Zhengying, Liu, Wenzhuo, Guyon, Isabelle, Marot, Antoine, Schoenauer, Marc
Publikováno v:
NeurIPS 2020-34th Conference on Neural Information Processing Systems
NeurIPS 2020-34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtuel, Canada
NeurIPS
NeurIPS, Dec 2020, Vancouver, Canada
NeurIPS 2020-34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtuel, Canada
NeurIPS
NeurIPS, Dec 2020, Vancouver, Canada
International audience; This paper introduces Deep Statistical Solvers (DSS), a new class of trainable solvers for optimization problems, arising from system simulations and others. The key idea is to learn a solver that generalizes to a given distri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::14a243a44b0be5fc375878f64e1fdec4
https://inria.hal.science/hal-02974541v3/file/NeurIPS2020_DeepStatisticalSolver_CameraReady-6.pdf
https://inria.hal.science/hal-02974541v3/file/NeurIPS2020_DeepStatisticalSolver_CameraReady-6.pdf
Autor:
Donon, Balthazar, Donnot, Benjamin, Guyon, Isabelle, Liu, Zhengying, Marot, Antoine, Panciatici, Patrick, Schoenauer, Marc
Publikováno v:
Neurocomputing
Neurocomputing, Elsevier, 2020, 416, pp.316-327
Neurocomputing, 2020, 416, pp.316-327
Neurocomputing, Elsevier, 2020, 416, pp.316-327
Neurocomputing, 2020, 416, pp.316-327
International audience; Using neural network modeling, we address the problem system identification for continuous multivariate systems, whose structures vary around an operating point. Structural changes in the system are of combinatorial nature, an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ed8e42274729761a44c97a7be8909c79
https://hal.inria.fr/hal-02422708
https://hal.inria.fr/hal-02422708
Publikováno v:
CiML Workshop, NeurIPS
CiML Workshop, NeurIPS, Dec 2018, Montréal, Canada
CiML Workshop, NeurIPS, Dec 2018, Montréal, Canada
International audience; We present the design of a new competition "Learning To Run a Power Network" to test the potential of Reinforcement Learning to solve a real world problem of great practical importance: controlling electricity transportation i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ea81f84c64f78b74982c91b0dce42d47
https://hal.archives-ouvertes.fr/hal-01968295
https://hal.archives-ouvertes.fr/hal-01968295