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Demand response-based multi-agent deep reinforcement learning control framework for heating systems

delete2025-08-30
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PRE
AI
Y
Ya‐Ling Wu
M
Mingyang Cong
Q
Qunshan Lu
Z
Zhi‐Gang Zhou *
刘
刘静 (Jing Liu)
D
Dayi Yang
DOI:10.1016/j.applthermaleng.2025.127957delete
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摘要

摘要

En 中文
• 采用MAPPO的MADRL方法实现了高效的区域供暖系统控制。 • 多区域RC模型模拟热力学和流体动力学以进行预测。 • 基于MAPPO的控制优化了多用户区域供暖系统的能源效率。
Keyword:
MADRL
MAPPO
district heating system
multi-zone RC model
energy efficiency

期刊

Applied Thermal Engineering 封面图
Applied Thermal Engineering
IF:
6.9
论文数:
2.8W
被引数:
10.6W

机构

H
harbin institute of technology
学者数:
8.0W
论文数: 6.6W
被引数: 66
引用论文

引用论文

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