Multi-agent deep reinforcement learning-based optimal energy management for grid-connected multiple energy carrier microgrids
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Reference40 articles.
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Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Two-Stage experimental intelligent dynamic energy management of microgrid in smart cities based on demand response programs and energy storage system participation;International Journal of Electrical Power & Energy Systems;2024-01
2. Exploration-Exploitation Balancing in Reinforcement Learning for Microgrid Scheduling: A Systematic Approach for Fixing Cooling Schedules;2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy (PESGRE);2023-12-17
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