Reinforcement Learning and Its Applications in Modern Power and Energy Systems: A Review

Reinforcement Learning and Its Applications in Modern Power and Energy Systems: A Review

With the growing integration of distributed energy resources (DERs), flexible loads, and other emerging technologies, there are increasing complexities and uncertainties for modern power and energy systems. This brings great challenges to the operation and control. Besides, with the deployment of ad...

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Bibliographic Details
Main Authors:	Di Cao, Weihao Hu, Junbo Zhao, Guozhou Zhang, Bin Zhang, Zhou Liu, Zhe Chen, Frede Blaabjerg
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	Journal of Modern Power Systems and Clean Energy
Subjects:	Reinforcement learning deep reinforcement learning power system operation and control optimization
Online Access:	https://ieeexplore.ieee.org/document/9275593/

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