Optimal dispatch of integrated energy system based on deep reinforcement learning

Optimal dispatch of integrated energy system based on deep reinforcement learning

Optimized scheduling of integrated energy systems is of great significance for achieving multi-energy complementarity and economic operation of the system. However, the intermittency of renewable energy sources and the uncertainty of user energy demand cause random fluctuations in the supply and dem...

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Bibliographic Details
Main Authors: Xiang Zhou, Jiye Wang, Xinying Wang, Sheng Chen
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Energy Reports
Subjects:
Integrated energy system
Optimal dispatch
Deep reinforcement learning
Uncertainty
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484723013987

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