Publications

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2019
Barr, Zach, Norman Bourassa, John Bowie, Richard E Brown, Nora DeCuir, H. Jordan Diamond, Amy Dryden, Ethan Elkind, Harrison Fraker, Wenjie Fu, Ethan Guy, Daniel Hamilton, Ted Lamm, Maika Nicholson, Leo 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.
Langevin, Jared, Chioke B Harris, and Janet L Reyna. "Assessing the Potential to Reduce U.S. Building CO2 Emissions 80% by 2050." Joule (2019).
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.
Hu, R. L, Jessica Granderson, David M Auslander, and Alice M Agogino. "Design of machine learning models with domain experts for automated sensor selection for energy fault detection." Applied Energy 235 (2019) 117 - 128.
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).
Mathew, Paul A, Philip Coleman, Janie Page, Cynthia Regnier, Jordan Shackelford, Greg Hopkins, Matt Jungclaus, and Victor Olgyay. Energy Efficiency and the Real Estate Lifecycle: Stakeholder Perspectives. 2019. LBNL 2001214.
Taylor, Margaret, K. Sydny Fujita, Jingjing Zhang, Mustapha Harb, James Tamerius, Michelle Jones, and Sarah K Price. Explaining jurisdictional compliance with California’s top-down streamlined solar permitting law (AB 2188). 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.
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.
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.
Hong, Tianzhen, and Sang Hoon Lee. "Integrating physics-based models with sensor data: An inverse modeling approach." Building and Environment 154 (2019) 23 - 31.
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.
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.
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, 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.
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.
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.
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.
Wetter, Michael, and Jianjun Hu. Quayside Energy Systems Analysis. 2019. LBNL 2001197.
Singh, Reshma, Mary Ann Piette, Ashok J Gadgil, Rajan Rawal, Narendra Bansal, Vishal Garg, Jyotirmay Mathur, Philip Haves, Paul A Mathew, Christian Kohler, Mahabir Bhandari, Gail Brager, Vivian Loftness, Narendran Nadarajah, Ronnen M Levinson, Richard E Brown, Andre Desjarlais, Milind Rane, Sanyogita Manu, Yash Shukla, and Mona Doctor-Pingel. R&D and Implementation Outcomes From The U.S.-India Bilateral Center For Building Energy Research And Development Program. 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.
Hart, Robert, Stephen E Selkowitz, and D. Charlie Curcija. "Thermal performance and potential annual energy impact of retrofit thin-glass triple-pane glazing in US residential buildings." Building Simulation 12.1 (2019) 79 - 86.

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