BTUS Energy Analytics

Singh, Reshma, Baptiste Ravache, and Mary Ann Piette. Energy Modeling in Urban Districts: Forecast of multi-sector Energy Use and GHG Emissions. 2019.

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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.

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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.

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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.

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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.

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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.

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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.

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Granderson, Jessica, Guanjing Lin, Rupam Singla, Samuel Fernandes, and Samir Touzani. BuildingIQ Technology Field Validation. 2018.

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Granderson, Jessica, Mary Ann Piette, Ben Rosenblum, R Lily Hu, Daniel Harris, Paul A Mathew, Phillip N Price, Geoffrey C Bell, Srinivas Katipamula, and Michael Brambley. Energy Information Handbook: Applications for Energy-Efficient Building Operations. Berkeley: Lawrence Berkeley National Laboratory, 2011.

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Granderson, Jessica, and Phillip N Price. Evaluation of the Predictive Accuracy of Five Whole-Building Baseline Models. Berkeley: Lawrence Berkeley National Laboratory, 2012.

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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.

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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.

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Blum, David, Guanjing Lin, Michael Spears, Janie Page, and Jessica Granderson. "When Data Analytics Meet Site Operation: Benefits and Challenges." 2018 ACEEE Summer Study on Energy Efficiency in Buildings. 2018.

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Granderson, Jessica, Guanjing Lin, Rupam Singla, Ebony Mayhorn, Paul Ehrlich, and Draguna Vrabie. "Commercial Fault Detection and Diagnostics Tools: What They Offer, How They Differ, and What’s Still Needed." 2018 ACEEE Summer Study on Energy Efficiency in Buildings. 2018.

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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.

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Granderson, Jessica, Guanjing Lin, David Blum, Shankar Earni, Janie Page, and Mary Ann Piette. Optimizing Operational Efficiency: Integrating Energy Information Systems and Model-Based Diagnostics. 2017.

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Piette, Mary Ann, Rebecca Zarin Pass, Reshma Singh, and Tianzhen Hong. "Review of City Energy and Emissions Analysis Needs, Methods & Tools." 2018 Summer Study on Energy Efficiency in Buildings. 2018.

Granderson, Jessica, Guanjing Lin, Rupam Singla, Samuel Fernandes, and Samir Touzani. "Field evaluation of performance of HVAC optimization system in commercial buildings." Energy and Buildings 173 (2018) 577–586.

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Fuchs, Heidi, Arian Aghajanzadeh, and Peter L Therkelsen. Using Industry’s Own Words to Evaluate ISO 50001 Energy Management Systems Adoption. Berkeley: Lawrence Berkeley National Laboratory, 2018.

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