Publications
Publications by Research Area
"Design of machine learning models with domain experts for automated sensor selection for energy fault detection." Applied Energy 235 (2019) 117 - 128.
. Developing Flexible, Networked Lighting Control Systems That Reliably Save Energy in California Buildings. California Energy Commission, 2019.
. "Development of city buildings dataset for urban building energy modeling." Energy and Buildings 183 (2019) 252 - 265.
. . "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.
. . "Emerging Zero-Standby Solutions for Miscellaneous Electric Loads and the Internet of Things." Electronics 8.5 (2019).
. "The Energy Costs of Moisture." Home Energy Magazine 2019.
. Energy Efficiency and the Real Estate Lifecycle: Stakeholder Perspectives. 2019. LBNL 2001214.
. . Energy Modeling in Urban Districts: Forecast of multi-sector Energy Use and GHG Emissions. 2019. 2001218.
. Energy Reporting: Device Demonstration, Communication Protocols, and Codes and Standards. Sacramento: California Energy Commission, 2019.
. "Energy savings with outdoor temperature-based smart ventilation control strategies in advanced California homes." Energy and Buildings 194 (2019) 317 - 327. 2001207.
. "Energy-saving opportunities of direct-DC loads in buildings." Applied Energy 248 (2019) 274 - 287.
. "Evaluation of an Integrated Pipe Water Cooling Strategy to Improve BIPV Structure Performance." ASES National Solar Conference 2019.
. "Evaluation of Methods to Assess the Uncertainty in Estimated Energy Savings." Energy and Buildings 193 (2019).
. "Evaluation of the Need for and Design of a City Energy Operations System." Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization - UrbSys'19. New York, New York, USA: ACM Press, 2019.
. "Evaluation of U.S. Manufacturing Subsectors at Risk of Physical Water Shortages." Environmental Science & Technology (2019).
. . "Forecasting district-scale energy dynamics through integrating building network and long short-term memory learning algorithm." Applied Energy 248 (2019) 217 - 230.
. "From Theory to Practice: Lessons Learned from an Advanced M&V Commercial Pilot." International Energy Program Evaluation Conference. 2019.
. . . "Incorporating machine learning with building network analysis to predict multi-building energy use." Energy and Buildings 186 (2019) 80 - 97.
. "Inferring occupant counts from Wi-Fi data in buildings through machine learning." Building and Environment 158 (2019) 281 - 294.
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