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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
Gerber, Daniel L, Alan K Meier, Richard Liou, and Robert Hosbach."Emerging Zero-Standby Solutions for Miscellaneous Electric Loads and the Internet of Things."Electronics
8.5 (2019). 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
Barr, Zach, Norman Bourassa, John Bowie, Richard E Brown, Nora DeCuir, H. H Jordan Diamond, Amy Dryden, Ethan Elkind, Harrison Fraker, Wenjie Fu, Ethan Guy, Daniel Hamilton, Ted Lamm, Maika Nicholson, Leo I Rainer, Sandy Robertson, Christine Scott Thomson, Emma Tome, and Andréa Traber."Accelerating the Deployment of Advanced Energy Communities: The Oakland EcoBlock A Zero Net Energy, Low Water Use Retrofit Neighborhood Demonstration Project."
(2019).
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 H 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
Schwartz, Peter, Brian F Gerke, Jennifer Potter, Alastair Robinson, David Jagger, Kelly Sanders, Yao-Yung Wen, Jasmine Shepard, and Teddy Kisch."The Value Proposition for Cost-Effective, Demand Responsive-Enabling, Nonresidential Lighting System Retrofits in California Buildings."
(2019).
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
Levinson, Ronnen M, Howdy Goudey, Sharon S Chen, Haley E Gilbert, George A Ban-Weiss, Joseph Ko, Yun Li, Arash Mohegh, Angie Rodriguez, Jonathan L Slack, Haider Taha, Tianbo Tang, and Jiachen Zhang."Monitoring the Urban Heat Island Effect and the Efficacy of Future Countermeasures."
(2019). 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
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
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. 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
Van Cutsem, Olivier, Maher Kayal, David Blum, and Marco Pritoni."Comparison of MPC Formulations for Building Control under Commercial Time-of-Use Tariffs."IEEE PowerTech Milan 2019
(2019).
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