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Indoor temperature preference setting control method for thermal comfort and energy saving based on reinforcement learning

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成果类型:
期刊论文
作者:
Li, Wei;Zhao, Yifan;Zhang, Jili;Jiang, Changwei;Chen, Siyu;...
通讯作者:
Li, W
作者机构:
[Zhao, Yifan; Wang, Yuegui; Li, W; Li, Wei; Lin, Liangxi; Chen, Siyu; Jiang, Changwei] Changsha Univ Sci & Technol, Sch Energy & Power Engn, Changsha 410114, Peoples R China.
[Li, Wei] Xian Univ Architecture & Technol, State Key Lab Green Bldg Western China, Xian 710055, Peoples R China.
[Zhang, Jili] Dalian Univ Technol, Fac Infrastruct Engn, Dalian 116024, Peoples R China.
通讯机构:
[Li, W ] C
Changsha Univ Sci & Technol, Sch Energy & Power Engn, Changsha 410114, Peoples R China.
语种:
英文
关键词:
Indoor temperature;Thermal comfort;Energy consumption;Smart control;Reinforcement learning
期刊:
Journal of Building Engineering
ISSN:
2352-7102
年:
2023
卷:
73
页码:
106805
基金类别:
Author statement Wei Li: Methodology, acquisition, Writing-original draft, Writing-review & editing. Yifan Zhao: Methodology, Writing-review & editing. Jili Zhang: Formal analysis, acquisition, Writing-review. Changwei Jiang: Formal analysis, Writing-review. Siyu Chen: Data curation, Investigation, Formal analysis, Writing-review. Liangxi Lin: Data curation, Investigation, Writing-review. Yuegui Wang: Data curation, Investigation, Writing-review.
机构署名:
本校为第一且通讯机构
院系归属:
能源与动力工程学院
摘要:
The optimal control of heating, ventilation, and air-conditioning (HVAC) systems affects people's living and building energy consumption. Many studies have introduced personal thermal sensation into the air-conditioning system to reduce energy consumption while improving the indoor thermal environment. However, there are limitations that require multiple adjusted temperature settings to create a room thermal environment that meets personal thermal comfort needs, and the impact of room temperature set values on air-conditioning energy consumption is often ignored. This study proposes an indoor ...

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