Publications
Publications By Research Area
X Author: Tianzhen Hong
2023
Sheng, Maggie, Michael Reiner, Kaiyu Sun, and Tianzhen Hong."Assessing thermal resilience of an assisted living facility during heat waves and cold snaps with power outages."Building and Environment
230 (2023) 110001. DOI
Perera, A.T.D, Bingyu Zhao, Zhe Wang, Kenichi Soga, and Tianzhen Hong."Optimal design of microgrids to improve wildfire resilience for vulnerable communities at the wildland-urban interface."Applied Energy
335 (2023) 120744. DOI
Coraci, Davide, Silvio Brandi, Tianzhen Hong, and Alfonso Capozzoli."Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings."Applied Energy
333 (2023) 120598. DOI
Perera, A.T.D, and Tianzhen Hong."Vulnerability and resilience of urban energy ecosystems to extreme climate events: A systematic review and perspectives."Renewable and Sustainable Energy Reviews
173 (2023) 113038. DOI
2022
Li, Han, and Tianzhen Hong."A semantic ontology for representing and quantifying energy flexibility of buildings."Advances in Applied Energy
8 (2022) 100113. DOI
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
Luo, Na, Xuan Luo, Mohammad Mortezazadeh, Maher Albettar, Wanni Zhang, Dongxue Zhan, Liangzhu Wang, and Tianzhen Hong."A data schema for exchanging information between urban building energy models and urban microclimate models in coupled simulations."Journal of Building Performance Simulation
(2022) 1 - 18. DOI
Pinto, Giuseppe, Riccardo Messina, Han Li, Tianzhen Hong, Marco Savino Piscitelli, and Alfonso Capozzoli."Sharing is caring: An extensive analysis of parameter-based transfer learning for the prediction of building thermal dynamics."Energy and Buildings
276 (2022) 112530. 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
Sun, Kaiyu, Tianzhen Hong, Janghyun Kim, and Barry Hooper."Application and evaluation of a pattern-based building energy model calibration method using public building datasets."Building Simulation
15.8 (2022) 1385 - 1400. DOI
Teso, Lorenzo, Laura Carnieletto, Kaiyu Sun, Wanni Zhang, Andrea Gasparella, Piercarlo Romagnoni, Angelo Zarrella, and Tianzhen Hong."Large scale energy analysis and renovation strategies for social housing in the historic city of Venice."Sustainable Energy Technologies and Assessments
52 (2022) 102041. DOI
Teso, Lorenzo, Laura Carnieletto, Kaiyu Sun, Wanni Zhang, Andrea Gasparella, Piercarlo Romagnoni, Angelo Zarrella, and Tianzhen Hong."Large scale energy analysis and renovation strategies for social housing in the historic city of Venice."Sustainable Energy Technologies and Assessments
52 (2022) 102041. DOI
Malik, Jeetika, Elie Azar, Ardeshir Mahdavi, and Tianzhen Hong."A level-of-details framework for representing occupant behavior in agent-based models."Automation in Construction
139 (2022) 104290. DOI
Sun, Kaiyu, Patricia Kusumah, Wanni Zhang, Max Wei, and Tianzhen Hong."Exploring Decarbonization and Clean Energy Pathways for Disadvantaged Communities in California."5th International Conference on Building Energy and Environment
(2022).
Luo, Na, Gabe Fierro, Yapan Liu, Bing Dong, and Tianzhen Hong."Extending the Brick schema to represent metadata of occupants."Automation in Construction
139 (2022) 104307. 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
Li, Haoran, Juan Hou, Tianzhen Hong, and Natasa Nord."Distinguish between the economic optimal and lowest distribution temperatures for heat-prosumer-based district heating systems with short-term thermal energy storage."Energy
248 (2022) 123601. DOI
Malik, Jeetika, Ardeshir Mahdavi, Elie Azar, Handi Chandra Putra, Christiane Berger, Clinton Andrews, and Tianzhen Hong."Ten questions concerning agent-based modeling of occupant behavior for energy and environmental performance of buildings."Building and Environment
217 (2022) 109016. DOI
Debnath, Ramit, Ronita Bardhan, Ashwin Misra, Tianzhen Hong, Vida Rozite, and Michael H Ramage."Lockdown impacts on residential electricity demand in India: A data-driven and non-intrusive load monitoring study using Gaussian mixture models."Energy Policy
164 (2022) 112886. 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
Vahmani, Pouya, Xuan Luo, Andrew Jones, and Tianzhen Hong."Anthropogenic heating of the urban environment: An investigation of feedback dynamics between urban micro-climate and decomposed anthropogenic heating from buildings."Building and Environment
213 (2022) 108841. DOI
Chen, Chien-fei, Thomas Dietz, Nina H Fefferman, Jamie Greig, Kristen Cetin, Caitlin Robinson, Laura Arpan, Marcel Schweiker, Bing Dong, Wenbo Wu, Yue Li, Hongyu Zhou, Jianzhong Wu, Jin Wen, Joshua S Fu, Tianzhen Hong, Da Yan, Hannah Nelson, Yimin Zhu, Xueping Li, Le Xie, and Rachel Fu."Extreme events, energy security and equality through micro- and macro-levels: Concepts, challenges and methods."Energy Research & Social Science
85 (2022) 102401. DOI
Zeng, Zhaoyun, Wanni Zhang, Kaiyu Sun, Max Wei, and Tianzhen Hong."Investigation of pre-cooling as a recommended measure to improve residential buildings’ thermal resilience during heat waves."Building and Environment
210 (2022) 108694. DOI
Pinto, Giuseppe, Zhe Wang, Abhishek Roy, Tianzhen Hong, and Alfonso Capozzoli."Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives."Advances in Applied Energy
5 (2022) 100084. DOI