Recent Developments in Machine Learning for Energy Systems Reliability Management

Duchesne, Laurine; Karangelos, Efthymios; Wehenkel, Louis

doi:10.1109/JPROC.2020.2988715

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Recent Developments in Machine Learning for Energy Systems Reliability Management

Duchesne, Laurine; Karangelos, Efthymios; Wehenkel, Louis

2020 • In Proceedings of the IEEE

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https://hdl.handle.net/2268/246570

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10.1109/JPROC.2020.2988715

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Keywords :

Electric power systems; Machine learning; Security assessment; Security control

Abstract :

[en] This paper reviews recent works applying machine learning techniques in the context of energy systems reliability assessment and control. We showcase both the progress achieved to date as well as the important future directions for further research, while providing an adequate background in the fields of reliability management and of machine learning. The objective is to foster the synergy between these two fields and speed up the practical adoption of machine learning techniques for energy systems reliability management. We focus on bulk electric power systems and use them as an example, but we argue that the methods, tools, {\it etc.} can be extended to other similar systems, such as distribution systems, micro-grids, and multi-energy systems.

Disciplines :

Electrical & electronics engineering

Author, co-author :

Duchesne, Laurine ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Dép. d'électric., électron. et informat. (Inst.Montefiore)

Karangelos, Efthymios ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Méthodes stochastiques

Wehenkel, Louis ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Méthodes stochastiques

Language :

English

Title :

Recent Developments in Machine Learning for Energy Systems Reliability Management

Publication date :

2020

Journal title :

Proceedings of the IEEE

ISSN :

0018-9219

eISSN :

1558-2256

Publisher :

Institute of Electrical and Electronics Engineers, United States - New Jersey

Special issue title :

Multi-Energy Systems

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 10 April 2020

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