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An operational regulation method for solar heating system based on Deep reinforcement learning

Zhihao Zhang Xin Xin Yong Zhou Daifeng Dang Jiahao Fu Yanfeng Liu

建筑模拟（英文版）2025，Vol.18Issue(8)：1945-1961,17.

建筑模拟（英文版）2025，Vol.18Issue(8)：1945-1961,17.DOI:10.1007/s12273-025-1297-8

An operational regulation method for solar heating system based on Deep reinforcement learning

Zhihao Zhang ¹Xin Xin ¹Yong Zhou ²Daifeng Dang ³Jiahao Fu ¹Yanfeng Liu³

作者信息

1. School of Building Services Science and Engineering,Xi'an University of Architecture and Technology,No.13 Yanta Road,Xi'an 710055,China
2. School of Management,Xi'an University of Architecture and Technology,No.13 Yanta Road,Xi'an 710055,China
3. School of Building Services Science and Engineering,Xi'an University of Architecture and Technology,No.13 Yanta Road,Xi'an 710055,China||State Key Laboratory of Green Building in Western China,Xi'an University of Architecture and Technology,No.13 Yanta Road,Xi'an 710055,China
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摘要

关键词

solar heating system/model-free predictive control/optimal control/Deep reinforcement learning

Key words

solar heating system/model-free predictive control/optimal control/Deep reinforcement learning

引用本文复制引用

Zhihao Zhang,Xin Xin,Yong Zhou,Daifeng Dang,Jiahao Fu,Yanfeng Liu..An operational regulation method for solar heating system based on Deep reinforcement learning[J].建筑模拟（英文版）,2025,18(8):1945-1961,17.

基金项目

This paper was supported by the National Natural Science Foundation of China(Project Nos.U23A20657,U20A20311). （Project Nos.U23A20657,U20A20311）

建筑模拟（英文版）

ISSN：1996-3599

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