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Causal graph-aided reinforcement learning for HVAC energy consumption optimization

Shihang Gao Xu Yang Rang Tu Jian Huang Tao Zhang Qing Li

建筑模拟（英文版）2026，Vol.19Issue(6)：1505-1522,18.
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建筑模拟（英文版）2026，Vol.19Issue(6)：1505-1522,18.DOI:10.1007/s12273-026-1451-y

Causal graph-aided reinforcement learning for HVAC energy consumption optimization

Causal graph-aided reinforcement learning for HVAC energy consumption optimization

Shihang Gao 1Xu Yang 1Rang Tu 2Jian Huang 1Tao Zhang 1Qing Li1

作者信息

  • 1. Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education,School of Automation and Electrical Engineering,University of Science and Technology Beijing,30 Xueyuan Road,Beijing 100083,China||Shunde Innovation School,University of Science and Technology Beijing,Foshan,Guangdong,China
  • 2. School of Resources and Safety Engineering,University of Science and Technology Beijing,30 Xueyuan Road,Beijing 100083,China
  • 折叠

摘要

关键词

HVAC system/energy consumption optimization/dynamic supply-demand matching/Soft Actor-Critic/causal graph

Key words

HVAC system/energy consumption optimization/dynamic supply-demand matching/Soft Actor-Critic/causal graph

引用本文复制引用

Shihang Gao,Xu Yang,Rang Tu,Jian Huang,Tao Zhang,Qing Li..Causal graph-aided reinforcement learning for HVAC energy consumption optimization[J].建筑模拟（英文版）,2026,19(6):1505-1522,18.

基金项目

This work was supported in part by the National Natural Science Foundation of China under grant U25B2053,62373012,the Guangdong Basic and Applied Basic Research Foundation under Grant 2025A1515012016,2025A1515011375. （）

建筑模拟（英文版）

1996-3599

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