Publications
X Author: Tianzhen Hong
2020
Sun, Kaiyu, Michael Specian, and Tianzhen Hong."Nexus of thermal resilience and energy efficiency in buildings: A case study of a nursing home."Building and Environment
177 (2020) 106842. DOI
Wang, Zhe, Jingyi Wang, Yueer He, Yanchen Liu, Borong Lin, and Tianzhen Hong."Dimension analysis of subjective thermal comfort metrics based on ASHRAE Global Thermal Comfort Database using machine learning."Journal of Building Engineering
29 (2020) 101120. DOI
O’Brien, William, Andreas Wagner, Marcel Schweiker, Ardeshir Mahdavi, Julia Day, Mikkel Baun Kjærgaard, Salvatore Carlucci, Bing Dong, Farhang Tahmasebi, Da Yan, Tianzhen Hong, H. Burak Gunay, Zoltan Nagy, Clayton Miller, and Christiane Berger."Introducing IEA EBC Annex 79: Key challenges and opportunities in the field of occupant-centric building design and operation."Building and Environment
(2020) 106738. DOI
Luo, , Xuan, Tianzhen Hong, and Yu-Hang Tang."Modeling Thermal Interactions between Buildings in an Urban Context."Energies
13.9 (2020) 2382. DOI
Wang, Zhe, Tianzhen Hong, and Mary Ann Piette."Building thermal load prediction through shallow machine learning and deep learning."Applied Energy
263 (2020) 114683. DOI
Hong, Tianzhen, Zhe Wang, Xuan Luo, and Wanni Zhang."State-of-the-art on research and applications of machine learning in the building life cycle."Energy and Buildings
212 (2020) 109831. DOI
Perera, A. T. D., Vahid M. Nik, Deliang Chen, Jean-Louis Scartezzini, and Tianzhen Hong."Quantifying the impacts of climate change and extreme climate events on energy systems."Nature Energy
5.2 (2020) 150 - 159. DOI
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. DOI
Hong, Tianzhen, Jared Langevin, Na Luo, and Kaiyu Sun."Energy and Behaviour Developing quantitative insights on building occupant behaviour: Supporting modelling tools and datasets."
(2020) 283 - 319. 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
119 (2020) 109593. DOI
Hong, Tianzhen, Chien-Fei Chen, Zhe Wang, and Xiaojing Xu."Linking human-building interactions in shared offices with personality traits."Building and Environment
170 (2020) 106602. DOI
Li, Han, Tianzhen Hong, Sang Hoon Lee, and Marina Sofos."System-level key performance indicators for building performance evaluation."Energy and Buildings
209 (2020) 109703. DOI
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. DOI
Piette, Mary Ann, Richard C. Diamond, Stephen E. Selkowitz, Stephane de la Rue du Can, Tianzhen Hong, Kaiyu Sun, Paul A. Mathew, Iain S. Walker, Alan K. Meier, Erik Page, Jessica Granderson, Nan Zhou, and Peter Alstone."Chapter 2: Global Opportunities and Challenges in Energy and Environmental Issues in the Buildings Sector."World Scientific Series in Current Energy Issues
(2020). DOI
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).
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."the 1st ACM International WorkshopProceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization - UrbSys'19
(2019). DOI
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. 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
Hong, Tianzhen, and Sang Hoon Lee."Integrating physics-based models with sensor data: An inverse modeling approach."Building and Environment
154 (2019) 23 - 31. 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, 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. DOI
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. DOI
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. 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