Publications

X Term: BTUS Modeling and Simulation

2019

Wang, Jingyi, Zhe Wang, Ding Zhou, and Kaiyu Sun."Key issues and novel optimization approaches of industrial waste heat recovery in district heating systems."Energy 188 (2019) 116005. DOI
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 (2019). DOI
Wetter, Michael, Antoine Gautier, Milica Grahovac, and Jianjun Hu."Verification of Control Sequences within OpenBuildingControl."16th IBPSA Conference (2019).
Langevin, Jared, Chioke B Harris, and Janet L Reyna."Assessing the Potential to Reduce U.S. Building CO2 Emissions 80% by 2050."Joule (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).
Singh, Reshma, Baptiste Ravache, and Mary Ann Piette."Energy Modeling in Urban Districts: Forecast of multi-sector Energy Use and GHG Emissions." (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
Levinson, Ronnen M, George A Ban-Weiss, Paul Berdahl, Sharon S Chen, Hugo Destaillats, Nathalie Dumas, Haley E Gilbert, Howdy Goudey, Sébastien Houzé de l’Aulnoit, Jan Kleissl, Benjamin Kurtz, Yun Li, Yan Long, Arash Mohegh, Negin Nazarian, Matteo Pizzicotti, Pablo J Rosado, Marion L Russell, Jonathan L Slack, Xiaochen Tang, Jiachen Zhang, and Weilong Zhang."Solar-Reflective “Cool” Walls: Benefits, Technologies, and Implementation." (2019). 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
Wetter, Michael, and Jianjun Hu."Quayside Energy Systems Analysis." (2019).
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
Jia, Ruoxi, Ming Jin, Kaiyu Sun, Tianzhen Hong, and Costas Spanos."Advanced Building Control via Deep Reinforcement Learning."Energy Procedia 158 (2019) 6158 - 6163. DOI
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. DOI
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. DOI
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. DOI
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. DOI
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. 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 (2019) 109593. DOI
Langevin, Jared."Longitudinal dataset of human-building interactions in U.S. offices."Scientific Data 6.1 (2019). DOI
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. DOI