Deep reinforcement learning for real-time economic energy management of microgrid system considering uncertainties

Deep reinforcement learning for real-time economic energy management of microgrid system considering uncertainties

The electric power grid is changing from a traditional power system to a modern, smart, and integrated power system. Microgrids (MGs) play a vital role in combining distributed renewable energy resources (RESs) with traditional electric power systems. Intermittency, randomness, and volatility consti...

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Bibliographic Details
Main Authors:	Ding Liu, Chuanzhi Zang, Peng Zeng, Wanting Li, Xin Wang, Yuqi Liu, Shuqing Xu
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-03-01
Series:	Frontiers in Energy Research
Subjects:	microgrid renewable energy energy management deep reinforcement learning uncertainty
Online Access:	https://www.frontiersin.org/articles/10.3389/fenrg.2023.1163053/full

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