Publications: Modeling
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2019
Langevin, Jared, Chioke B Harris, and Janet L Reyna."Assessing the Potential to Reduce U.S. Building CO2 Emissions 80% by 2050."Joule
(2019). DOI
Shah, Nihar, Max Wei, Virginie E Letschert, and Amol A Phadke."Benefits of Energy Efficient and Low-Global Warming Potential Refrigerant Cooling Equipment."
(2019) 59.
Karaguzel, Omer T, Mohammed Elshambakey, Yimin Zhu, and Tianzhen Hong."OPEN COMPUTING INFRASTRUCTURE FOR SHARING DATA ANALYTICS TO SUPPORT BUILDING ENERGY SIMULATIONS."
(2019).
Wu, Yujie, Taoning Wang, Eleanor S Lee, Jérôme H Kämpf, and Jean-Louis Scartezzini."Split-pane electrochromic window control based on an embedded photometric device with real-time daylighting computing."Building and Environment
161 (2019) 106229. DOI
Coll, Claudia, Claudia Lindim, Anna Sobek, Michael D Sohn, and Matthew Macleod."Prospects for finding Junge variability-lifetime relationships for micropollutants in the Danube river."Environmental Science: Processes & Impacts
21.9 (2019) 1489 - 1497. DOI
Singh, Reshma, Baptiste Ravache, and Mary Ann Piette."Energy Modeling in Urban Districts: Forecast of multi-sector Energy Use and GHG Emissions."
(2019).
Xu, Xiaodong, Wei Wang, Tianzhen Hong, and Jiayu Chen."Incorporating machine learning with building network analysis to predict multi-building energy use."Energy and Buildings
186 (2019) 80 - 97. DOI
Ehlinger, Victoria M, Ahmet Kusoglu, and Adam Z Weber."Modeling Coupled Durability and Performance in Polymer-Electrolyte Fuel Cells: Membrane Effects."Journal of The Electrochemical Society
166.7 (2019) F3255 - F3267. DOI
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
Hong, Tianzhen, and Sang Hoon Lee."Integrating physics-based models with sensor data: An inverse modeling approach."Building and Environment
154 (2019) 23 - 31. 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
Zhou, Nan, Lynn K Price, Dai Yande, Jon Creyts, Nina Khanna, David Fridley, Hongyou Lu, Wei Feng, Xu Liu, Ali Hasanbeigi, Zhiyu Tian, Hongwei Yang, Quan Bai, Yuezhong Zhu, Huawen Xiong, Jianguo Zhang, Kate Chrisman, Josh Agenbroad, Yi Ke, Robert McIntosh, David Mullaney, Clay Stranger, Eric Wanless, Daniel Wetzel, Cyril Yee, and Ellen Franconi."A roadmap for China to peak carbon dioxide emissions and achieve a 20% share of non-fossil fuels in primary energy by 2030."Applied Energy
239 (2019) 793 - 819. DOI
Wang, Wei, Tianzhen Hong, Xiaodong Xu, Jiayu Chen, Ziang Liu, and Ning Xu."Forecasting district-scale energy dynamics through integrating building network and long short-term memory learning algorithm."Applied Energy
248 (2019) 217 - 230. DOI
Levinson, Ronnen M, George A Ban-Weiss, Paul H Berdahl, Sharon S Chen, Hugo Destaillats, Nathalie Dumas, Haley E Gilbert, Howdy Goudey, Sébastien Houzé de l’Aulnoit, Jan Kleissl, Benjamin Kurtz, Yun Li, Yan Long, Arash Mohegh, Negin Nazarian, Matteo Pizzicotti, Pablo J Rosado, Marion L Russell, Jonathan L Slack, Xiaochen Tang, Jiachen Zhang, and Weilong Zhang."Solar-Reflective “Cool” Walls: Benefits, Technologies, and Implementation."
(2019). DOI
Guo, Siyue, Da Yan, Tianzhen Hong, Chan Xiao, and Ying Cui."A novel approach for selecting typical hot-year (THY) weather data."Applied Energy
242 (2019) 1634 - 1648. DOI
Xu, Xiaodong, Yifan Wu, Wei Wang, Tianzhen Hong, and Ning Xu."Performance-driven optimization of urban open space configuration in the cold-winter and hot-summer region of China."Building Simulation
12.3 (2019) 411 - 424. DOI
Ulsh, Michael, Annalisa DeBari, Jacob M Berliner, Iryna V Zenyuk, Peter Rupnowski, Larissa Matvichuk, Adam Z Weber, and Guido Bender."The development of a through-plane reactive excitation technique for detection of pinholes in membrane-containing MEA sub-assemblies."International Journal of Hydrogen Energy
44.16 (2019) 8533 - 8547. DOI
Wang, Zhe, Thomas Parkinson, Peixian Li, Borong Lin, and Tianzhen Hong."The Squeaky wheel: Machine learning for anomaly detection in subjective thermal comfort votes."Building and Environment
151 (2019) 219 - 227. DOI
Jia, Ruoxi, Ming Jin, Kaiyu Sun, Tianzhen Hong, and Costas Spanos."Advanced Building Control via Deep Reinforcement Learning."Energy Procedia
158 (2019) 6158 - 6163. 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
García-Salaberri, Pablo A, Iryna V Zenyuk, Gisuk Hwang, Marcos Vera, Adam Z Weber, and Jeff T Gostick."Implications of inherent inhomogeneities in thin carbon fiber-based gas diffusion layers: A comparative modeling study."Electrochimica Acta
295 (2019) 861 - 874. 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
Pant, Lalit M, Michael R Gerhardt, Natalia Macauley, Rangachary Mukundan, Rodney L Borup, and Adam Z Weber."Along-the-channel modeling and analysis of PEFCs at low stoichiometry: Development of a 1+2D model."Electrochimica Acta
326 (2019) 134963. DOI
Li, Han, Tianzhen Hong, and Marina Sofos."An inverse approach to solving zone air infiltration rate and people count using indoor environmental sensor data."Energy and Buildings
198 (2019) 228 - 242. DOI