Publications by Research Area
Publications
Publications by Division
2022
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
Gerke, Brian F., Cong Zhang, Samanvitha Murthy, Andrew Satchwell, Elaina Present, Henry Horsey, Eric Wilson, Andrew Parker, Andrew Speake, Rajendra Adhikari, and Mary Ann Piette."Load-driven interactions between energy efficiency and demand response on regional grid scales."Advances in Applied Energy
6 (2022). DOI
2021
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
Dalton, Patrick, Mary Ann Piette, Paul De Martini, Fritz Kahrl, Jeremy Twitchell, and Andrew D. Mills."Western States Training Webinars on Integrated Distribution System Planning."
(2021).
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., Cong Zhang, Andrew Satchwell, Samanvitha Murthy, Mary Ann Piette, Elaina Present, Eric Wilson, Andrew Speake, and Rajendra Adhikari."Modeling the Interaction Between Energy Efficiency and Demand Response on Regional Grid Scales."ACEEE 2020 Summer Study on Energy Efficiency in Buildings
(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
Satchwell, Andrew, Peter Cappers, Jeff Deason, Sydney Forrester, Natalie Mims Frick, Brian F. Gerke, and Mary Ann Piette."A Conceptual Framework to Describe Energy Efficiency and Demand Response Interactions."
(2020).
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).
Yin, Rongxin, Girish Ghatikar, and Mary Ann Piette."Big-Data Analytics for Electric Grid and Demand-Side Management."
(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