Publications

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Author Title [ Type(Desc)] Year
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Conference Paper
Cho, Brian, Teresa Dayrit, Yuan Gao, Zhe Wang, Tianzhen Hong, Alex Sim, and Kesheng. "Effective Missing Value Imputation Methods for Building Monitoring Data." IEEE BigData 2020. 2020.
Cho, Brian, Teresa Dayrit, Yuan Gao, Zhe Wang, Tianzhen Hong, Alex Sim, and Kesheng. "Effective Missing Value Imputation Methods for Building Monitoring Data." IEEE BigData 2020. 2020.
Chen, Bingqing, Ming Jin, Zhe Wang, Tianzhen Hong, and Mario Bergés. "Towards Off-policy Evaluation as a Prerequisite for Real-world Reinforcement Learning in Building Control." BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and TransportationProceedings of the 1st International Workshop on Reinforcement Learning for Energy Management in Buildings & Cities. Virtual Event JapanNew York, NY, USA: ACM, 2020.
Chen, Bingqing, Ming Jin, Zhe Wang, Tianzhen Hong, and Mario Bergés. "Towards Off-policy Evaluation as a Prerequisite for Real-world Reinforcement Learning in Building Control." BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and TransportationProceedings of the 1st International Workshop on Reinforcement Learning for Energy Management in Buildings & Cities. Virtual Event JapanNew York, NY, USA: ACM, 2020.
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.
Li, Han, Zhe Wang, Tianzhen Hong, Andrew Parker, and Monica Neukomm. "Characterizing patterns and variability of building electric load profiles in time and frequency domains." Applied Energy 291 (2021) 116721.
Li, Han, Zhe Wang, Tianzhen Hong, Andrew Parker, and Monica Neukomm. "Characterizing patterns and variability of building electric load profiles in time and frequency domains." Applied Energy 291 (2021) 116721.
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, and Tianzhen Hong. "Generating realistic building electrical load profiles through the Generative Adversarial Network (GAN)." Energy and Buildings 224 (2020) 110299.
Wang, Zhe, and Tianzhen Hong. "Generating realistic building electrical load profiles through the Generative Adversarial Network (GAN)." Energy and Buildings 224 (2020) 110299.
Hong, Tianzhen, Daniel Macumber, Han Li, Katherine Fleming, and Zhe Wang. "Generation and representation of synthetic smart meter data." Building Simulation 13.6 (2020) 1205 - 1220.
Hong, Tianzhen, Daniel Macumber, Han Li, Katherine Fleming, and Zhe Wang. "Generation and representation of synthetic smart meter data." Building Simulation 13.6 (2020) 1205 - 1220.
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, Jingyi, Zhe Wang, Ding Zhou, and Kaiyu Sun. "Key issues and novel optimization approaches of industrial waste heat recovery in district heating systems." Energy 188 (2019) 116005.
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.
Li, Han, Zhe Wang, and Tianzhen Hong. "Occupant-Centric key performance indicators to inform building design and operations." Journal of Building Performance Simulation (2021) 1 - 29.
Li, Han, Zhe Wang, and Tianzhen Hong. "Occupant-Centric key performance indicators to inform building design and operations." Journal of Building Performance Simulation (2021) 1 - 29.
Wang, Zhe, Tianzhen Hong, Han Li, and Mary Ann Piette. "Predicting city-scale daily electricity consumption using data-driven models." Advances in Applied Energy 2 (2021) 100025.
Wang, Zhe, Tianzhen Hong, Han Li, and Mary Ann Piette. "Predicting city-scale daily electricity consumption using data-driven models." Advances in Applied Energy 2 (2021) 100025.
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, and Tianzhen Hong. "Reinforcement learning for building controls: The opportunities and challenges." Applied Energy 269 (2020) 115036.
Wang, Zhe, Hui Zhang, Yingdong Hi, Maohui Luo, Ziwei Li, Tianzhen Hong, and Borong Lin. "Revisiting individual and group differences in thermal comfort based on ASHRAE database." Energy and Buildings 219 (2020) 110017.
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.

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