Publications
] . "Building fault detection and diagnostics: Achieved savings, and methods to evaluate algorithm performance." Building and Environment 168 (2020) 106505. 
PDF (3.8 MB)
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PDF (3.8 MB). "Building thermal load prediction through shallow machine learning and deep learning." Applied Energy 263 (2020) 114683. PDF (3.54 MB)
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PDF (3.54 MB). "Culture, conformity, and carbon? A multi-country analysis of heating and cooling practices in office buildings." Energy Research & Social Science 61 (2020) 101344. PDF (3.66 MB)
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PDF (3.66 MB). "Dimension analysis of subjective thermal comfort metrics based on ASHRAE Global Thermal Comfort Database using machine learning." Journal of Building Engineering 29 (2020) 101120. PDF (1.71 MB)
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PDF (1.71 MB). "eProject Builder: Promoting wider adoption of energy savings performance contracts through standardization and transparency." energise 2020 ENERGY INNOVATION FOR A SUSTAINABLE ECONOMY 2020: 300-308. PDF (5.07 MB)
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PDF (5.07 MB). High-Performance Integrated Window and Façade Solutions for California. Sacramento: California Energy Commission, 2020. PDF (3.68 MB)
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PDF (3.68 MB). "Learning occupants’ indoor comfort temperature through a Bayesian inference approach for office buildings in United States." Renewable and Sustainable Energy Reviews 119 (2020) 109593. PDF (1.81 MB)
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PDF (1.81 MB). "Linking human-building interactions in shared offices with personality traits." Building and Environment 170 (2020) 106602. PDF (2.1 MB)
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PDF (2.1 MB). "M&V in ESPC: The U.S. Federal Experience and Implications for Developing ESPC Markets." energise 2020 ENERGY INNOVATION FOR A SUSTAINABLE ECONOMY 2020: 216-221. PDF (6.91 MB)
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PDF (6.91 MB). "Quantifying the impacts of climate change and extreme climate events on energy systems." Nature Energy 5.2 (2020) 150 - 159. PDF (756.95 KB)
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PDF (756.95 KB). "State-of-the-art on research and applications of machine learning in the building life cycle." Energy and Buildings 212 (2020) 109831. PDF (1.13 MB)
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PDF (1.13 MB). "System-level key performance indicators for building performance evaluation." Energy and Buildings 209 (2020) 109703. PDF (1.92 MB)
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PDF (1.92 MB). Systems Retrofit Trends in Commercial Buildings: Opening Up Opportunities for Deeper Savings. 2020. PDF (2.57 MB)
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PDF (2.57 MB). "Ten questions on urban building energy modeling." Building and Environment 168 (2020) 106508. PDF (1.92 MB)
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PDF (1.92 MB). Accelerating the Deployment of Advanced Energy Communities: The Oakland EcoBlock A Zero Net Energy, Low Water Use Retrofit Neighborhood Demonstration Project. 2019. PDF (18.65 MB)
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PDF (18.65 MB). "Agricultural demand response for decarbonizing the electricity grid." Journal of Cleaner Production 220 (2019) 827 - 835. PDF (1.16 MB)
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PDF (1.16 MB). "Assessing the Potential to Reduce U.S. Building CO2 Emissions 80% by 2050." Joule (2019). PDF (3.72 MB)
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PDF (3.72 MB). "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. PDF (2.8 MB)
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PDF (2.8 MB). Is the BPD Nationally Representative? A Comparison of the Building Performance Database to the Commercial Buildings Energy Consumption Survey. 2019. LBNL-20001198. PDF (10.35 MB)
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PDF (10.35 MB). "Building analytics and monitoring-based commissioning: industry practice, costs, and savings." Energy Efficiency (2019). PDF (645.08 KB)
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PDF (645.08 KB). "Cognitive barriers during monitoring-based commissioning of buildings." Sustainable Cities and Society 46 (2019) 101389. PDF (3.4 MB)
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PDF (3.4 MB). "Comparison of MPC Formulations for Building Control under Commercial Time-of-Use Tariffs." IEEE PowerTech Milan 2019. 2019. PDF (304.39 KB)
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PDF (304.39 KB). "Cross-source sensing data fusion for building occupancy prediction with adaptive lasso feature filtering." Building and Environment 162 (2019) 106280. PDF (1.36 MB)
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PDF (1.36 MB). "Data fusion in predicting internal heat gains for office buildings through a deep learning approach." Applied Energy 240 (2019) 386 - 398. PDF (1004.68 KB)
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PDF (1004.68 KB). "Design of machine learning models with domain experts for automated sensor selection for energy fault detection." Applied Energy 235 (2019) 117 - 128. PDF (1.6 MB)
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PDF (1.6 MB)