Publications
Publications By Research Area
2023
Liu, Jingjing, Lili Yu, Rongxin Yin, Mary Ann Piette, Marco Pritoni, Armando Casillas, and Peter Schwartz."Factors Influencing Building Demand Flexibility."
(2023). DOI
2022
Liu, Jingjing, Rongxin Yin, Lili Yu, Mary Ann Piette, Marco Pritoni, Armando Casillas, Jiarong Xie, Tianzhen Hong, Monica Neukomm, and Peter Schwartz."Defining and applying an electricity demand flexibility benchmarking metrics framework for grid-interactive efficient commercial buildings."Advances in Applied Energy
8 (2022) 100107. DOI
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
Prakash, Anand Krishnan, Marco Pritoni, Margarita Kloss, Mary Ann Piette, Michel Kamel, and Dotty Hage."Cloud-Control of Legacy Building Automation System: A case study."2022 Summer Study on Energy Efficiency in Buildings
(2022). DOI
Gerke, Brian F., Sarah J. Smith, Samanvitha Murthy, Aditya Khandekar, Cong Zhang, Sunhee Baik, Shreya Agarwal, Jingjing Liu, Richard E. Brown, Mary Ann Piette, and Peter Alstone."Overview of Phase 4 of the California Demand Response Potential Study."
(2022).
Yu, Lili, Jingjing Liu, Rongxin Yin, Mary Ann Piette, Marco Pritoni, Armando Casillas, Monica Neukomm, and Amir Roth."When Do Efficiency and Demand Flexibility Go Hand-in-hand?."2022 Summer Study on Energy Efficiency in Buildings
(2022). 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
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
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
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
2019
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, 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
2018
Pass, Rebecca Zarin, Michael Wetter, and Mary Ann Piette."A thermodynamic analysis of a novel bidirectional district heating and cooling network."Energy
144 (2018) 20 - 30. DOI