Publications

2022

Malik, Jeetika, Ronita Bardhan, Tianzhen Hong, and Mary Ann Piette."Developing occupant archetypes within urban low-income housing: A case study in Mumbai, India."Building Simulation 15.9 (2022) 1661 - 1683. DOI
Kim, Donghun, Zhe Wang, James Brugger, David Blum, Michael Wetter, Tianzhen Hong, and Mary Ann Piette."Site demonstration and performance evaluation of MPC for a large chiller plant with TES for renewable energy integration and grid decarbonization."Applied Energy 321 (2022) 119343. DOI
Blum, David, Zhe Wang, Chris Weyandt, Donghun Kim, Michael Wetter, Tianzhen Hong, and Mary Ann Piette."Field demonstration and implementation analysis of model predictive control in an office HVAC system."Applied Energy 318 (2022) 119104. DOI
Luo, Na, Zhe Wang, David Blum, Christopher Weyandt, Norman Bourassa, Mary Ann Piette, and Tianzhen Hong."A three-year dataset supporting research on building energy management and occupancy analytics."Nature Scientific Data (2022). DOI

2021

Li, , Han, Zhe Wang, Tianzhen Hong, and Mary Ann Piette."Energy flexibility of residential buildings: A systematic review of characterization and quantification methods and applications."Advances in Applied Energy 3 (2021) 100054. DOI
Ahn, Hyeunguk, Jingjing Liu, Donghun Kim, Rongxin Yin, Tianzhen Hong, and Mary Ann Piette."How Can Floor Covering Influence Buildings’ Demand Flexibility?."Energies 14.12 (2021) 3658. DOI
Satchwell, Andrew, Mary Ann Piette, Aditya Khandekar, Jessica Granderson, Natalie Mims Frick, Ryan Hledik, Ahmad Faruqui, Long Lam, Stephanie Ross, Jesse Cohen, Kitty Wang, Daniela Urigwe, Dan Delurey, Monica Neukomm, and David Nemtzow."A National Roadmap for Grid-Interactive Efficient Buildings." (2021).
Wang, Zhe, Tianzhen Hong, Han Li, and Mary Ann Piette."Predicting city-scale daily electricity consumption using data-driven models."Advances in Applied Energy 2 (2021) 100025. DOI

2020

Singh, Reshma, Anand Prakash, Mary Ann Piette, and Shreya Agarwal."A Community Energy Operations and Planning System: Concept, Use cases, Metrics, and Benefits."The American Council for an Energy-Efficient Economy (2020).
Liu, Jingjing, Rongxin Yin, Marco Pritoni, Mary Ann Piette, and Monica Neukomm."Developing and Evaluating Metrics for Demand Flexibility in Buildings: Comparing Simulations and Field Data."ACEEE Summer Study (2020). DOI
Yoon, Nari, Leslie K. Norford, Ali Malkawi, Holly Samuelson, and Mary Ann Piette."Dynamic metrics of natural ventilation cooling effectiveness for interactive modeling."Building and Environment 180.106994 (2020). DOI
Clark, Callie, Anand Prakash, Marco Pritoni, Margarita Kloss, Pranav Gupta, Bruce Nordman, and Mary Ann Piette."Harvesting the low-hanging fruit of high energy savings -- Virtual Occupancy using Wi-Fi Data."ACEEE Summer Study (2020).
Gerke, Brian F., Giulia Gallo, Sarah Josephine Smith, Jingjing Liu, Shuba V. Raghavan, Peter Schwartz, Mary Ann Piette, Rongxin Yin, and Sofia Stensson."The California Demand Response Potential Study, Phase 3: Final Report on the Shift Resource through 2030." (2020). DOI
Malik, Jeetika, Ronita Bardhan, Tianzhen Hong, and Mary Ann Piette."Contextualising adaptive comfort behaviour within low-income housing of Mumbai, India."Building and Environment 177 (2020) 106877. DOI
Yoon, Nari, Mary Ann Piette, Jung Min Han, Wentao Wu, and Ali Malkawi."Optimization of Window Positions for Wind-Driven Natural Ventilation Performance."Energies 13.10 (2020) 2464. DOI
Wang, Zhe, Tianzhen Hong, and Mary Ann Piette."Building thermal load prediction through shallow machine learning and deep learning."Applied Energy 263 (2020) 114683. DOI
Piette, Mary Ann, Richard C. Diamond, Stephen E. Selkowitz, Stephane de la Rue du Can, Tianzhen Hong, Kaiyu Sun, Paul A. Mathew, Iain S. Walker, Alan K. Meier, Erik Page, Jessica Granderson, Nan Zhou, and Peter Alstone."Chapter 2: Global Opportunities and Challenges in Energy and Environmental Issues in the Buildings Sector."World Scientific Series in Current Energy Issues (2020). DOI

2019

Piette, Mary Ann, Reshma Singh, and Anand Prakash."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 (2019). DOI
Singh, Reshma, Mary Ann Piette, Ashok J. Gadgil, Rajan Rawal, Narendra Bansal, Vishal Garg, Jyotirmay Mathur, Philip Haves, Paul A. Mathew, Christian Kohler, Mahabir Bhandari, Gail Brager, Vivian Loftness, Narendran Nadarajah, Ronnen M. Levinson, Richard E. Brown, Andre Desjarlais, Milind Rane, Sanyogita Manu, Yash Shukla, and Mona Doctor-Pingel."R&D and Implementation Outcomes From The U.S.-India Bilateral Center For Building Energy Research And Development Program." (2019). DOI
Singh, Reshma, Baptiste Ravache, and Mary Ann Piette."Energy Modeling in Urban Districts: Forecast of multi-sector Energy Use and GHG Emissions." (2019).
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. DOI
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. DOI
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. DOI
Blum, David H., 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. DOI
Granderson, Jessica, Guanjing Lin, David H. Blum, Janie Page, Michael Spears, and Mary Ann Piette."Integrating diagnostics and model-based optimization."Energy and Buildings 182 (2019) 187 - 195. DOI