Tianzhen Hong

Publications

Viewing 25 of 281 publications

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

Hong, Tianzhen, Yujie Xu, Kaiyu Sun, Wanni Zhang, and Xuan Luo. "Visualizing Urban Microclimate and Quantifying its Impact on Building Energy Use in San Francisco." Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization - UrbSys’19. New York, NY, USA: ACM Press, 2019.

Frick, Natalie Mims, Eric Wilson, Janet Reyna, Andrew Parker, Elaina Present, Janghyun Kim, Tianzhen Hong, Han Li, and Tom Eckman. End-Use Load Profiles for the U.S. Building Stock: Market Needs, Use Cases, and Data Gaps. 2019.

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

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, 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, 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, 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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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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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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Jia, Ruoxi, Ming Jin, Kaiyu Sun, Tianzhen Hong, and Costas Spanos. "Advanced Building Control via Deep Reinforcement Learning." Energy Procedia 158 (2019) 6158–6163.

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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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Wang, Wei, Tianzhen Hong, Nan Li, Ryan Qi Wang, and Jiayu Chen. "Linking energy-cyber-physical systems with occupancy prediction and interpretation through WiFi probe-based ensemble classification." Applied Energy 236 (2019) 55–69.

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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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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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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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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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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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Chen, Yixing, Tianzhen Hong, Xuan Luo, and Barry Hooper. "Development of city buildings dataset for urban building energy modeling." Energy and Buildings 183 (2019) 252–265.

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2018

Sangogboye, Fisayo Caleb, Ruoxi Jia, Tianzhen Hong, Costas Spanos, and Mikkel Baun Kjærgaard. "A Framework for Privacy-Preserving Data Publishing with Enhanced Utility for Cyber-Physical Systems." ACM Transactions on Sensor Networks 14.3-4 (2018) 1–22.

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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.

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