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Aghajanzadeh, Arian, and Peter L Therkelsen. "Agricultural demand response for decarbonizing the electricity grid." Journal of Cleaner Production 220 (2019) 827 - 835.
Walter, Travis, and Paul A Mathew. Is the BPD Nationally Representative? A Comparison of the Building Performance Database to the Commercial Buildings Energy Consumption Survey. 2019. LBNL-20001198.
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.
Clark, Jordan D, Brennan Less, Spencer M Dutton, Iain S Walker, and Max H Sherman. "Efficacy of occupancy-based smart ventilation control strategies in energy-efficient homes in the United States." Building and Environment 156 (2019) 253 - 267. LBNL-2001199.
Singh, Reshma, Baptiste Ravache, and Mary Ann Piette. Energy Modeling in Urban Districts: Forecast of multi-sector Energy Use and GHG Emissions. 2019. 2001214.
Less, Brennan, Spencer M Dutton, Iain S Walker, Max H Sherman, and Jordan D Clark. "Energy savings with outdoor temperature-based smart ventilation control strategies in advanced California homes." Energy and Buildings 194 (2019) 317 - 327. 2001207.
Rao, Prakash, Darren Sholes, and Joe Cresko. "Evaluation of U.S. Manufacturing Subsectors at Risk of Physical Water Shortages." Environmental Science & Technology (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.
Granderson, Jessica, Guanjing Lin, David Blum, Janie Page, Michael Spears, and Mary Ann Piette. "Integrating diagnostics and model-based optimization." Energy and Buildings 182 (2019) 187 - 195.
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.
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.
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.
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.
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.
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.
Wetter, Michael, and Jianjun Hu. Quayside Energy Systems Analysis. 2019. LBNL 2001197.
Less, Brennan, Iain S Walker, Jonathan L Slack, Leo I Rainer, and Ronnen M Levinson. Sealed and Insulated Attic Hygrothermal Performance in New California Homes Using Vapor and Air Permeable Insulation—Field Study and Simulations. 2019. LBNL-2001213.
Less, Brennan, Spencer M Dutton, Xiwang Li, Jordan D Clark, Iain S Walker, and Max H Sherman. Smart Ventilation for Advance California Homes – Single Zone Technology Task. 2019. 2001206.
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.
Touzani, Samir, Baptiste Ravache, Eliot Crowe, and Jessica Granderson. "Statistical change detection of building energy consumption: Applications to savings estimation." Energy and Buildings 185 (2019) 123 - 136.