Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Antoine Marot"'
Publikováno v:
Energy and AI, Vol 14, Iss , Pp 100276- (2023)
The operation of electricity grids has become increasingly complex due to the current upheaval and the increase in renewable energy production. As a consequence, active grid management is reaching its limits with conventional approaches. In the conte
Externí odkaz:
https://doaj.org/article/f3a7be5f511344fca4c76fa861cdb9ac
Publikováno v:
IEEE Open Access Journal of Power and Energy, Vol 10, Pp 73-85 (2023)
High penetration of distributed energy resources (DERs) changes the flows in power grids causing thermal congestions which are managed by real-time corrective topology switching. It is crucial to consider voltage stability margin (VSM) as a constrain
Externí odkaz:
https://doaj.org/article/1c658cf9209941f4a68192dc12fa86e7
Autor:
Antoine Marot, Adrian Kelly, Matija Naglic, Vincent Barbesant, Jochen Cremer, Alexandru Stefanov, Jan Viebahn
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 10, Iss 2, Pp 328-344 (2022)
Today's power systems are seeing a paradigm shift under the energy transition, sparkled by the electrification of demand, digitalisation of systems, and an increasing share of decarbonated power generation. Most of these changes have a direct impact
Externí odkaz:
https://doaj.org/article/e7db2b5727c4401284c3825f60e4a9d6
Power grids are becoming more complex to operate in the digital age given the current energy transition to cope with climate change. As a result, real-time decision-making is getting more challenging as the human operator has to deal with more inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::268c45196d4cb96ba908d819710a39db
https://doi.org/10.3233/faia220191
https://doi.org/10.3233/faia220191
Autor:
Patrick Panciatici, Antoine Marot, Benjamin Donnot, Zhengying Liu, Marc Schoenauer, Isabelle Guyon, Balthazar Donon
Publikováno v:
Neurocomputing. 416:316-327
Using neural network modeling, we address the problem of system identification for continuous multivariate systems, whose structures vary around an operating point. Structural changes in the system are of combinatorial nature, and some of them may be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9dbe2e282ee1886d760580eafb5f0f6
https://doi.org/10.1016/j.neucom.2019.12.135
https://doi.org/10.1016/j.neucom.2019.12.135
Publikováno v:
2021 IEEE Madrid PowerTech.
We propose a new adversarial training approach for injecting robustness when designing controllers for upcoming cyber-physical power systems. Previous approaches relying deeply on simulations are not able to cope with the rising complexity and are to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcce1b5e73800b5ad9748d2b99c42dc1
https://doi.org/10.1109/powertech46648.2021.9494982
https://doi.org/10.1109/powertech46648.2021.9494982
Publikováno v:
2021 IEEE Madrid PowerTech, PowerTech 2021-Conference Proceedings
System operators are faced with increasingly volatile operating conditions. In order to manage system reliability in a cost-effective manner, control room operators are turning to computerised decision support tools based on AI and machine learning.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c48b0cce760a21fb03a6bc630de1b73
https://doi.org/10.1109/powertech46648.2021.9494879
https://doi.org/10.1109/powertech46648.2021.9494879
Autor:
Antoine Marot, Benjamin Donnot, Karim Chaouache, Adrian Kelly, Qiuhua Huang, Ramij-Raja Hossain, Jochen L. Cremer
Artificial agents are promising for real-time power network operations, particularly, to compute remedial actions for congestion management. However, due to high reliability requirements, purely autonomous agents will not be deployed any time soon an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d2224378ad994119af111df22d4b71a
Autor:
Antoine Marot, Rémy Clément, Marc Schoenauer, Balthazar Donon, Benjamin Donnot, Isabelle Guyon
Publikováno v:
Electric Power Systems Research
Electric Power Systems Research, Elsevier, 2020, 189, pp.106547
Electric Power Systems Research, 2020, 189, pp.106547
Electric Power Systems Research, Elsevier, 2020, 189, pp.106547
Electric Power Systems Research, 2020, 189, pp.106547
International audience; Recent trends in power systems and those envisioned for the next few decades push Transmission System Operators to develop probabilistic approaches to risk estimation. However, current methods to solve power flows are too slow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24404e5a87dad814f542a9b43a924659
https://hal.archives-ouvertes.fr/hal-02372741
https://hal.archives-ouvertes.fr/hal-02372741
Publikováno v:
HAL
Hybrid Human Artificial Intelligence (HHAI)
Hybrid Human Artificial Intelligence (HHAI), Jun 2022, Amsterdam, France
Hybrid Human Artificial Intelligence (HHAI)
Hybrid Human Artificial Intelligence (HHAI), Jun 2022, Amsterdam, France
International audience; Power grids are becoming more complex to operate in the digital age given the current energy transition to cope with climate change. As a result, real-time decision-making is getting more challenging as the human operator has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7b70c9db02a923fb35eda4c631adaca