Publications

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Author Title Type [ Year(Asc)]
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2021
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.
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.
2020
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, 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.
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.
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, 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, 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.
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.
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.

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