Publications
Publications by Research Area
Publications by Division
X Author: Zhe Wang
2025
Zheng, Wanfu, Laura Zabala, Jesus Febres, David Blum, and Zhe Wang."Quantifying and simulating the weather forecast uncertainty for advanced building control."Journal of Building Performance Simulation
(2025) 1-16. DOI
2023
Perera, A.T.D, Bingyu Zhao, Zhe Wang, Kenichi Soga, and Tianzhen Hong."Optimal design of microgrids to improve wildfire resilience for vulnerable communities at the wildland-urban interface."Applied Energy
335 (2023) 120744. DOI
2022
Kim, Donghun, Zhe Wang, James Brugger, David Blum, Michael Wetter, Tianzhen Hong, and Mary Ann Piette."Site demonstration and performance evaluation of MPC for a large chiller plant with TES for renewable energy integration and grid decarbonization."Applied Energy
321 (2022) 119343. DOI
Blum, David, Zhe Wang, Chris Weyandt, Donghun Kim, Michael Wetter, Tianzhen Hong, and Mary Ann Piette."Field demonstration and implementation analysis of model predictive control in an office HVAC system."Applied Energy
318 (2022) 119104. DOI
Luo, Na, Zhe Wang, David Blum, Christopher Weyandt, Norman Bourassa, Mary Ann Piette, and Tianzhen Hong."A three-year dataset supporting research on building energy management and occupancy analytics."Nature Scientific Data
(2022). DOI
Pinto, Giuseppe, Zhe Wang, Abhishek Roy, Tianzhen Hong, and Alfonso Capozzoli."Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives."Advances in Applied Energy
5 (2022) 100084. DOI
2021
Li, Han, Zhe Wang, and Tianzhen Hong."A synthetic building operation dataset."Scientific Data
8.1 (2021). DOI
Touzani, Samir, Anand Prakash, Zhe Wang, Shreya Agarwal, Marco Pritoni, Mariam Kiran, Richard E Brown, and Jessica Granderson."Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency."Applied Energy
304 (2021) 117733. DOI
Touzani, Samir, Anand Prakash, Zhe Wang, Shreya Agarwal, Marco Pritoni, Mariam Kiran, Richard E Brown, and Jessica Granderson."Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency."Applied Energy
(2021). DOI
Wang, Zhe, Bingqing Chen, Han Li, and Tianzhen Hong."AlphaBuilding ResCommunity: A multi-agent virtual testbed for community-level load coordination."Advances in Applied Energy
4 (2021) 100061. DOI
Chen, Chien-fei, Marilena De Simone, Selin Yilmaz, Xiaojing Xu, Zhe Wang, Tianzhen Hong, and Yiqun Pan."Intersecting heuristic adaptive strategies, building design and energy saving intentions when facing discomfort environment: A cross-country analysis."Building and Environment
204 (2021) 108129. DOI
Li, Han, Zhe Wang, Tianzhen Hong, and Mary Ann Piette."Energy flexibility of residential buildings: A systematic review of characterization and quantification methods and applications."Advances in Applied Energy
3 (2021) 100054. DOI
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. DOI
Wang, Zhe, Tianzhen Hong, and Han Li."Informing the planning of rotating power outages in heat waves through data analytics of connected smart thermostats for residential buildings."Environmental Research Letters
16.7 (2021) 074003. DOI
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. DOI
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. DOI
2020
Cho, Brian, Teresa Dayrit, Yuan Gao, Zhe Wang, Tianzhen Hong, Alex Sim, and Kesheng Kesheng."Effective Missing Value Imputation Methods for Building Monitoring Data."IEEE BigData 2020
(2020). DOI
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. DOI
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."Proceedings of the 1st International Workshop on Reinforcement Learning for Energy Management in Buildings & Cities
(2020). DOI
Wang, Zhe, and Tianzhen Hong."Generating realistic building electrical load profiles through the Generative Adversarial Network (GAN)."Energy and Buildings
224 (2020) 110299. DOI
Wang, Zhe, and Tianzhen Hong."Reinforcement learning for building controls: The opportunities and challenges."Applied Energy
269 (2020) 115036. DOI
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. DOI
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. DOI
Wang, Zhe, Tianzhen Hong, and Mary Ann Piette."Building thermal load prediction through shallow machine learning and deep learning."Applied Energy
263 (2020) 114683. DOI
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. DOI