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Optimization control method for dedicated outdoor air system in multi-zone office buildings based on deep reinforcement learning

Xudong Tang Ling Zhang Yongqiang Luo

建筑模拟（英文版）2025，Vol.18Issue(4)：881-896,16.

建筑模拟（英文版）2025，Vol.18Issue(4)：881-896,16.DOI:10.1007/s12273-025-1231-0

Optimization control method for dedicated outdoor air system in multi-zone office buildings based on deep reinforcement learning

Xudong Tang ¹Ling Zhang ¹Yongqiang Luo²

作者信息

1. College of Civil Engineering,Hunan University,Changsha 410082,China||National Center for International Research Collaboration in Building Safety and Environment,Hunan University,Changsha 410082,China||Key Laboratory of Building Safety and Energy Efficiency of the Ministry of Education,Hunan University,Changsha 410082,China
2. School of Environmental Science and Engineering,Huazhong University of Science and Technology,Wuhan 430074,China
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摘要

关键词

multi-zone HVAC systems/energy consumption/thermal comfort/indoor air quality/multi-agent deep reinforcement learning

Key words

multi-zone HVAC systems/energy consumption/thermal comfort/indoor air quality/multi-agent deep reinforcement learning

引用本文复制引用

Xudong Tang,Ling Zhang,Yongqiang Luo..Optimization control method for dedicated outdoor air system in multi-zone office buildings based on deep reinforcement learning[J].建筑模拟（英文版）,2025,18(4):881-896,16.

基金项目

The work described in this study was sponsored by the National Natural Science Foundation of China(Grant Number:52278103),and the Natural Science Foundation-Departmental Joint Fund of Hunan Province,China(Grant Number:2023JJ60570). （Grant Number:52278103）

建筑模拟（英文版）

ISSN：1996-3599

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