Distributed flexible resource regulation strategy for residential communities based on deep reinforcement learning

Abstract In an era characterized by the rapid proliferation of distributed flexible resources (DFRs), the development of customized energy management and regulation strategies has attracted significant interest from the field. The inherent geographical dispersion and unpredictability of these resour...

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Bibliographic Details
Main Authors: Tianyun Xu, Tao Chen, Ciwei Gao, Meng Song, Yishen Wang, Hao Yuan
Format: Article
Language:English
Published: Wiley 2024-11-01
Series:IET Generation, Transmission & Distribution
Subjects:
Online Access:https://doi.org/10.1049/gtd2.13284
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