Publications

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Author Title [ Type(Desc)] Year
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Journal Article
Wang, Zhe, Tianzhen Hong, and Mary Ann Piette. "Building thermal load prediction through shallow machine learning and deep learning." Applied Energy 263 (2020) 114683.
Wang, Zhe, Tianzhen Hong, and Mary Ann Piette. "Data fusion in predicting internal heat gains for office buildings through a deep learning approach." Applied Energy 240 (2019) 386 - 398.
Wang, Zhe, Jingyi Wang, Yueer He, Yanchen Liu, Borong Lin, and Tianzhen Hong. "Dimension analysis of subjective thermal comfort metrics based on ASHRAE Global Thermal Comfort Database using machine learning." Journal of Building Engineering 29 (2020) 101120.
Wang, Zhe, Tianzhen Hong, Mary Ann Piette, and Marco Pritoni. "Inferring occupant counts from Wi-Fi data in buildings through machine learning." Building and Environment 158 (2019) 281 - 294.
Wang, Zhe, and Tianzhen Hong. "Learning occupants’ indoor comfort temperature through a Bayesian inference approach for office buildings in United States." Renewable and Sustainable Energy Reviews 119 (2020) 109593.
Hong, Tianzhen, Chien-Fei Chen, Zhe Wang, and Xiaojing Xu. "Linking human-building interactions in shared offices with personality traits." Building and Environment 170 (2020) 106602.
Wang, Zhe, Tianzhen Hong, and Mary Ann Piette. "Predicting plug loads with occupant count data through a deep learning approach." Energy 181 (2019) 29 - 42.
Wang, Zhe, Thomas Parkinson, Peixian Li, Borong Lin, and Tianzhen Hong. "The Squeaky wheel: Machine learning for anomaly detection in subjective thermal comfort votes." Building and Environment 151 (2019) 219 - 227.
Hong, Tianzhen, Zhe Wang, Xuan Luo, and Wanni Zhang. "State-of-the-art on research and applications of machine learning in the building life cycle." Energy and Buildings 212 (2020) 109831.