Publications by Research Area
Publications
Publications by Division
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
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). 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."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
(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
2019
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. DOI
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. DOI
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. DOI
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. DOI
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. DOI
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
(2019) 109593. DOI
2018
Wang, Zhe, Tianzhen Hong, and Ruoxi Jia."Buildings.Occupants: a Modelica package for modelling occupant behaviour in buildings."Journal of Building Performance Simulation
(2018) 1 - 12. DOI
2014
Li, Xiongwei, Zhe Wang, Xianglei Mao, and Richard E. Russo."Spatially and temporally resolved spectral emission of laser-induced plasmas confined by cylindrical cavities."Journal of Analytical Atomic Spectrometry
29.11 (2014) 2127-2135. DOI