Integration of online deep reinforcement learning and federated learning: A dynamic energy management strategy for industrial applications

Abstract In the context of federated learning, this paper focuses on managing inherent dynamics and uncertainties, and optimizing energy management for devices in real‐world industrial environments. The problem is formulated by proposing an online deep reinforcement learning algorithm that optimizes...

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Bibliographic Details
Main Authors: Yunzhou Tang, GuoXu Du, Jinzhong Long, Yongxin Zhao
Format: Article
Language:English
Published: Wiley 2023-12-01
Series:IET Communications
Subjects:
Online Access:https://doi.org/10.1049/cmu2.12686