Large-scale multi-agent reinforcement learning-based method for coordinated output voltage control of solid oxide fuel cell
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Title
Large-scale multi-agent reinforcement learning-based method for coordinated output voltage control of solid oxide fuel cell
Authors
Keywords
Large-scale deep reinforcement learning, Pygmalion effect-based multi-agent double delay deep deterministic policy gradient algorithm (PEB-MA4DPG), DC/DC converter, Fuel reformer, Output voltage coordinated control, Solid oxide fuel cell (SOFC)
Journal
Case Studies in Thermal Engineering
Volume 30, Issue -, Pages 101752
Publisher
Elsevier BV
Online
2022-01-04
DOI
10.1016/j.csite.2021.101752
References
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