Publications: Modeling & Simulation

2020

Chen, Chien-fei, Tianzhen Hong, Gerardo Zarazua de Rubens, Selin Yilmaz, Karol Bandurski, Zsófia Deme Bélafi, Marilena De Simone, Mateus Vinícius Bavaresco, Yu Wang, Pei-ling Liu, Verena M Barthelmes, Jacqueline Adams, Simona D'Oca, and Łukasz Przybylski. "Culture, conformity, and carbon? A multi-country analysis of heating and cooling practices in office buildings." Energy Research & Social Science 61 (2020) 101344.

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Hong, Tianzhen, Yixing Chen, Xuan Luo, Na Luo, and Sang Hoon Lee. "Ten questions on urban building energy modeling." Building and Environment 168 (2020) 106508.

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2019

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.

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Luo, Na, Wenguo Weng, Xiaoyu Xu, Tianzhen Hong, Ming Fu, and Kaiyu Sun. "Assessment of occupant-behavior-based indoor air quality and its impacts on human exposure risk: A case study based on the wildfires in Northern California." Science of The Total Environment 686 (2019) 1251 - 1261.

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Li, Han, Tianzhen Hong, and Marina Sofos. "An inverse approach to solving zone air infiltration rate and people count using indoor environmental sensor data." Energy and Buildings 198 (2019) 228 - 242.

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Wang, Wei, Tianzhen Hong, Ning Xu, Xiaodong Xu, Jiayu Chen, and Xiaofang Shan. "Cross-source sensing data fusion for building occupancy prediction with adaptive lasso feature filtering." Building and Environment 162 (2019) 106280.

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Lee, Sang Hoon, and Tianzhen Hong. "Validation of an inverse model of zone air heat balance." Building and Environment 161 (2019) 106232.

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Xu, Xiaodong, Chenhuan Yin, Wei Wang, Ning Xu, Tianzhen Hong, and Qi Li. "Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China." Sustainability 11.13 (2019) 3683.

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Langevin, Jared, Chioke B Harris, and Janet L Reyna. "Assessing the Potential to Reduce U.S. Building CO2 Emissions 80% by 2050." Joule (2019).

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Karaguzel, Omer T, Mohammed Elshambakey, Yimin Zhu, and Tianzhen Hong. "OPEN COMPUTING INFRASTRUCTURE FOR SHARING DATA ANALYTICS TO SUPPORT BUILDING ENERGY SIMULATIONS." 2019.

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Singh, Reshma, Baptiste Ravache, and Mary Ann Piette. Energy Modeling in Urban Districts: Forecast of multi-sector Energy Use and GHG Emissions. 2019. 2001218.

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Xu, Xiaodong, Wei Wang, Tianzhen Hong, and Jiayu Chen. "Incorporating machine learning with building network analysis to predict multi-building energy use." Energy and Buildings 186 (2019) 80 - 97.

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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.

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Hong, Tianzhen, and Sang Hoon Lee. "Integrating physics-based models with sensor data: An inverse modeling approach." Building and Environment 154 (2019) 23 - 31.

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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.

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Wang, Wei, Tianzhen Hong, Xiaodong Xu, Jiayu Chen, Ziang Liu, and Ning Xu. "Forecasting district-scale energy dynamics through integrating building network and long short-term memory learning algorithm." Applied Energy 248 (2019) 217 - 230.

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Guo, Siyue, Da Yan, Tianzhen Hong, Chan Xiao, and Ying Cui. "A novel approach for selecting typical hot-year (THY) weather data." Applied Energy 242 (2019) 1634 - 1648.

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Xu, Xiaodong, Yifan Wu, Wei Wang, Tianzhen Hong, and Ning Xu. "Performance-driven optimization of urban open space configuration in the cold-winter and hot-summer region of China." Building Simulation 12.3 (2019) 411 - 424.

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Wetter, Michael, and Jianjun Hu. Quayside Energy Systems Analysis. 2019. LBNL 2001197.

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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.

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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.

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Blum, David, K. Arendt, Lisa Rivalin, Mary Ann Piette, Michael Wetter, and C.T. Veje. "Practical factors of envelope model setup and their effects on the performance of model predictive control for building heating, ventilating, and air conditioning systems." Applied Energy 236 (2019) 410 - 425.

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Blum, David, Filip Jorissen, Sen Huang, Yan Chen, Javier Arroyo, Kyle Benne, Yanfei Li, Valentin Gavan, Lisa Rivalin, Lieve Helsen, Draguna Vrabie, Michael Wetter, and Marina Sofos. "Prototyping the BOPTEST Framework for Simulation-Based Testing of Advanced Control Strategies in Buildings." IBPSA Building Simulation 2019. Rome, Italy, 2019.

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2018

Xu, Xiaodong, Fenlan Luo, Wei Wang, Tianzhen Hong, and Xiuzhang Fu. "Performance-Based Evaluation of Courtyard Design in China’s Cold-Winter Hot-Summer Climate Regions." Sustainability 10.11 (2018) 3950.

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Wang, Taoning, Gregory Ward, and Eleanor S Lee. "Efficient modeling of optically-complex, non-coplanar exterior shading: Validation of matrix algebraic methods." Energy and Buildings 174 (2018) 464 - 483.

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