The smart air purifier control strategy based on reinforcement learning for better IAQ and energy efficiency

Author:

Shang Wenzhe1ORCID,Dai Xilei2ORCID,Liu Junjie1ORCID

Affiliation:

1. Tianjin University, China

2. National University of Singapore, Singapore

Funder

National Key Research and Development Program of China

Publisher

ACM

Reference13 articles.

1. Yuting An , Tongling Xia , Ruoyu You , Dayi Lai , Junjie Liu , and Chun Chen . 2021. A reinforcement learning approach for control of window behavior to reduce indoor PM2.5 concentrations in naturally ventilated buildings. BUILDING AND ENVIRONMENT 200 (AUG 2021 ). https://doi.org/10.1016/j.buildenv.2021.107978 10.1016/j.buildenv.2021.107978 Yuting An, Tongling Xia, Ruoyu You, Dayi Lai, Junjie Liu, and Chun Chen. 2021. A reinforcement learning approach for control of window behavior to reduce indoor PM2.5 concentrations in naturally ventilated buildings. BUILDING AND ENVIRONMENT 200 (AUG 2021). https://doi.org/10.1016/j.buildenv.2021.107978

2. Chun Chen , Bin Zhao , Wanting Zhou , Xinyi Jiang , and Zhongchao Tan . 2012. A methodology for predicting particle penetration factor through cracks of windows and doors for actual engineering application. BUILDING AND ENVIRONMENT 47 (JAN 2012 ), 339–348. https://doi.org/10.1016/j.buildenv.2011.07.004 10.1016/j.buildenv.2011.07.004 Chun Chen, Bin Zhao, Wanting Zhou, Xinyi Jiang, and Zhongchao Tan. 2012. A methodology for predicting particle penetration factor through cracks of windows and doors for actual engineering application. BUILDING AND ENVIRONMENT 47 (JAN 2012), 339–348. https://doi.org/10.1016/j.buildenv.2011.07.004

3. Xilei Dai , Junjie Liu , and Xin Zhang . 2020. A review of studies applying machine learning models to predict occupancy and window-opening behaviours in smart buildings. ENERGY AND BUILDINGS 223 (SEP 15 2020 ). https://doi.org/10.1016/j.enbuild.2020.110159 10.1016/j.enbuild.2020.110159 Xilei Dai, Junjie Liu, and Xin Zhang. 2020. A review of studies applying machine learning models to predict occupancy and window-opening behaviours in smart buildings. ENERGY AND BUILDINGS 223 (SEP 15 2020). https://doi.org/10.1016/j.enbuild.2020.110159

4. Mengjie Han , Ross May , Xingxing Zhang , Xinru Wang , Song Pan , Da Yan , Yuan Jin , and Liguo Xu. 2019. A review of reinforcement learning methodologies for controlling occupant comfort in buildings. SUSTAINABLE CITIES AND SOCIETY 51 (NOV 2019 ). https://doi.org/10.1016/j.scs.2019.101748 10.1016/j.scs.2019.101748 Mengjie Han, Ross May, Xingxing Zhang, Xinru Wang, Song Pan, Da Yan, Yuan Jin, and Liguo Xu. 2019. A review of reinforcement learning methodologies for controlling occupant comfort in buildings. SUSTAINABLE CITIES AND SOCIETY 51 (NOV 2019). https://doi.org/10.1016/j.scs.2019.101748

5. Amirreza Heidari Francois Marechal and Dolaana Khovalyg. 2022. Reinforcement Learning for proactive operation of residential energy systems by learning stochastic occupant behavior and fluctuating solar energy: Balancing comfort hygiene and energy use. APPLIED ENERGY 318 (JUL 15 2022). https://doi.org/10.1016/j.apenergy.2022.119206 10.1016/j.apenergy.2022.119206

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