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| Reinforcement learning for building controls: The opportunities and challenges Z Wang, T Hong Applied Energy 269, 115036, 2020 | 442 | 2020 |
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| 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 | 324 | 2019 |
| 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 | 300 | 2020 |
| Energy flexibility of residential buildings: A systematic review of characterization and quantification methods and applications H Li, Z Wang, T Hong, MA Piette Advances in Applied Energy 3, 100054, 2021 | 266 | 2021 |
| 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 | 209 | 2018 |
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| 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 | 168 | 2016 |
| 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 | 148 | 2018 |
| High-density thermal sensitivity maps of the human body M Luo, Z Wang, H Zhang, E Arens, D Filingeri, L Jin, A Ghahramani, ... Building and environment 167, 106435, 2020 | 131 | 2020 |
| 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 | 126 | 2018 |
| 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 | 117 | 2016 |
| 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 | 106 | 2019 |
| 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 | 106 | 2015 |
| Generating realistic building electrical load profiles through the Generative Adversarial Network (GAN) Z Wang, T Hong Energy and Buildings 224, 110299, 2020 | 105 | 2020 |
| 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 | 97 | 2016 |
| Field demonstration and implementation analysis of model predictive control in an office HVAC system D Blum, Z Wang, C Weyandt, D Kim, M Wetter, T Hong, MA Piette Applied energy 318, 119104, 2022 | 95 | 2022 |
| 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 | 95 | 2018 |
| Transformation towards a carbon-neutral residential community with hydrogen economy and advanced energy management strategies Y He, Y Zhou, J Yuan, Z Liu, Z Wang, G Zhang Energy Conversion and Management 249, 114834, 2021 | 94 | 2021 |
