RECA: A Multi-Task Deep Reinforcement Learning-Based Recommender System for Co-Optimizing Energy, Comfort and Air Quality in Commercial Buildings

Author:

Xia Stephen1ORCID,Wei Peter2ORCID,Liu Yanchen2ORCID,Sonta Andrew2ORCID,Jiang Xiaofan1ORCID

Affiliation:

1. Columbia University, United States of America

2. Columbia University, USA

Funder

National Science Foundation

Publisher

ACM

Reference27 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 ( 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 (2021), 107978.

2. ASHRAE. 2002. ASHRAE Guideline 14-2002: Measure ment of energy and demand savings. ASHRAE. 2002. ASHRAE Guideline 14-2002: Measure ment of energy and demand savings.

3. UFAD ASHRAE. 2013 . Guide: Design, Construction and Operation of Underfloor Air Distribution Systems . American Society of Heating , Refrigerating and Air-Conditioning Engineers, Atlanta, GA (2013). UFAD ASHRAE. 2013. Guide: Design, Construction and Operation of Underfloor Air Distribution Systems. American Society of Heating, Refrigerating and Air-Conditioning Engineers, Atlanta, GA (2013).

4. Sentinel

5. Paulo Carreira , António Aguiar Costa , Vitor Mansur , and Artur Arsénio . 2018. Can HVAC really learn from users? A simulation-based study on the effectiveness of voting for comfort and energy use optimization. Sustainable cities and society 41 ( 2018 ), 275–285. Paulo Carreira, António Aguiar Costa, Vitor Mansur, and Artur Arsénio. 2018. Can HVAC really learn from users? A simulation-based study on the effectiveness of voting for comfort and energy use optimization. Sustainable cities and society 41 (2018), 275–285.

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