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Zhe (Walter) WANG
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Year
Individual difference in thermal comfort: A literature review
Z Wang, R de Dear, M Luo, B Lin, Y He, A Ghahramani, Y Zhu
Building and Environment 138, 181-193, 2018
3202018
A review of operating performance in green buildings: Energy use, indoor environmental quality and occupant satisfaction
Y Geng, W Ji, Z Wang, B Lin, Y Zhu
Energy and Buildings 183, 500-514, 2019
1622019
Human metabolic rate and thermal comfort in buildings: The problem and challenge
M Luo, Z Wang, K Ke, B Cao, Y Zhai, X Zhou
Building and Environment 131, 44-52, 2018
1212018
Reinforcement learning for building controls: The opportunities and challenges
Z Wang, T Hong
Applied Energy 269, 115036, 2020
1202020
Building thermal load prediction through shallow machine learning and deep learning
Z Wang, T Hong, MA Piette
Applied Energy 263, 114683, 2020
1162020
Evaluation and comparison of thermal comfort of convective and radiant heating terminals in office buildings
B Lin, Z Wang, H Sun, Y Zhu, Q Ouyang
Building and Environment 106, 91-102, 2016
1132016
State-of-the-art on research and applications of machine learning in the building life cycle
T Hong, Z Wang, X Luo, W Zhang
Energy and Buildings 212, 109831, 2020
1092020
Residential heating energy consumption modeling through a bottom-up approach for China's Hot Summer–Cold Winter climatic region
Z Wang, Z Zhao, B Lin, Y Zhu, Q Ouyang
Energy and Buildings 109, 65-74, 2015
812015
Investigation of winter indoor thermal environment and heating demand of urban residential buildings in China's hot summer–Cold winter climate region
B Lin, Z Wang, Y Liu, Y Zhu, Q Ouyang
Building and Environment 101, 9-18, 2016
782016
Thermal comfort evaluated for combinations of energy-efficient personal heating and cooling devices
M Luo, E Arens, H Zhang, A Ghahramani, Z Wang
Building and Environment 143, 206-216, 2018
772018
Indoor climate experience, migration, and thermal comfort expectation in buildings
M Luo, Z Wang, G Brager, B Cao, Y Zhu
Building and Environment 141, 262-272, 2018
762018
Measured energy use and indoor environment quality in green office buildings in China
B Lin, Y Liu, Z Wang, Z Pei, M Davies
Energy and Buildings 129, 9-18, 2016
722016
Data fusion in predicting internal heat gains for office buildings through a deep learning approach
Z Wang, T Hong, MA Piette
Applied Energy 240, 386-398, 2019
622019
Investigation of indoor environment quality of Chinese large-hub airport terminal buildings through longitudinal field measurement and subjective survey
Z Wang, H Zhao, B Lin, Y Zhu, Q Ouyang, J Yu
Building and Environment 94, 593-605, 2015
582015
The uncertainty of subjective thermal comfort measurement
J Wang, Z Wang, R de Dear, M Luo, A Ghahramani, B Lin
Energy and Buildings 181, 38-49, 2018
532018
Modeling and measurement study on an intermittent heating system of a residence in Cambridgeshire
Z Wang, B Lin, Y Zhu
Building and environment 92, 380-386, 2015
432015
A model to compare convective and radiant heating systems for intermittent space heating
Z Wang, M Luo, Y Geng, B Lin, Y Zhu
Applied Energy 215, 211-226, 2018
412018
Review of fan-use rates in field studies and their effects on thermal comfort, energy conservation, and human productivity
H He, Y., Chen, W., Wang, Z., & Zhang
Energy and Building 194, 140-162, 2019
372019
Inferring occupant counts from Wi-Fi data in buildings through machine learning
Z Wang, T Hong, MA Piette, and M Pritoni
Building and Environment 158, 281-294, 2019
342019
Rational selection of heating temperature set points for China's hot summer–Cold winter climatic region
Z Wang, R de Dear, B Lin, Y Zhu, Q Ouyang
Building and Environment 93, 63-70, 2015
342015
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