A data-driven output voltage control of solid oxide fuel cell using multi-agent deep reinforcement learning

标题
A data-driven output voltage control of solid oxide fuel cell using multi-agent deep reinforcement learning
作者
关键词
Large-scale multi-agent deep reinforcement learning, Discrete-continuous hybrid action space large-scale multi-agent twin delayed deep deterministic policy gradient, Solid oxide fuel cell, Output voltage control, Fuel utilization
出版物
APPLIED ENERGY
Volume 304, Issue -, Pages 117541
出版商
Elsevier BV
发表日期
2021-09-09
DOI
10.1016/j.apenergy.2021.117541

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