Publications

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Author Title [ Type(Desc)] Year
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Conference Paper
Xu, Peng, Philip Haves, Mary Ann Piette, and James E Braun. "Peak Demand Reduction from Pre-Cooling with Zone Temperature Reset in an Office Building." 2004 ACEEE Summer Study on Energy Efficiency in Buildings. Pacific Grove, CA, 2004. LBNL-55800.
Pass, Rebecca Zarin, Michael Wetter, and Mary Ann Piette. "A Tale of Three District Energy Systems: Metrics and Future Opportunities." 2016 ACEEE Summer Study on Energy Efficiency in Buildings. 2016.
Journal Article
Lee, Sang Hoon, Tianzhen Hong, Mary Ann Piette, Geof Sawaya, Yixing Chen, and Sarah C Taylor-Lange. "Accelerating the energy retrofit of commercial buildings using a database of energy efficiency performance." Energy (2015). LBNL-1004494.
Piette, Mary Ann, Satkartar T Khalsa, and Philip Haves. "Analysis of an Information Monitoring and Diagnostic System to Improve Building Operations." Energy and Buildings 33.8 (2001) 783-792. LBNL-46038.
Hong, Tianzhen, Mary Ann Piette, Yixing Chen, Sang Hoon Lee, Sarah C Taylor-Lange, Rongpeng Zhang, Kaiyu Sun, and Phillip N Price. "Commercial Building Energy Saver: An energy retrofit analysis toolkit." Applied Energy 159 (2015). LBNL-1004502.
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.
Lee, Sang Hoon, Tianzhen Hong, Geof Sawaya, Yixing Chen, and Mary Ann Piette. "DEEP: A Database of Energy Efficiency Performance to Accelerate Energy Retrofitting of Commercial Buildings." (2015). LBNL-180309.
Lee, Sang Hoon, Tianzhen Hong, Mary Ann Piette, and Sarah C Taylor-Lange. "Energy retrofit analysis toolkit for commercial buildings: A review." 89 (2015) 1087-1100. LBNL-1004503.
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.
Sun, Kaiyu, Tianzhen Hong, Sarah C Taylor-Lange, and Mary Ann Piette. "A pattern-based automated approach to building energy model calibration." (2015). LBNL-1004495.
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.
Regnier, Cynthia, Kaiyu Sun, Tianzhen Hong, and Mary Ann Piette. "Quantifying the benefits of a building retrofit using an integrated system approach: A case study." Energy and Buildings 159 (2018).