Publications

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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).
Luo, Na, Wenguo Weng, Xiaoyu Xu, Tianzhen Hong, Ming Fu, and Kaiyu Sun. "Assessment of occupant-behavior-based indoor air quality and its impacts on human exposure risk: A case study based on the wildfires in Northern California." Science of The Total Environment 686 (2019) 1251 - 1261.
Chen, Yixing, Tianzhen Hong, Xuan Luo, and Barry Hooper. "Development of city buildings dataset for urban building energy modeling." Energy and Buildings 183 (2019) 252 - 265.
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.
Hong, Tianzhen, and Sang Hoon Lee. "Integrating physics-based models with sensor data: An inverse modeling approach." Building and Environment 154 (2019) 23 - 31.
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.
Wang, Wei, Tianzhen Hong, Nan Li, Ryan Qi Wang, and Jiayu Chen. "Linking energy-cyber-physical systems with occupancy prediction and interpretation through WiFi probe-based ensemble classification." Applied Energy 236 (2019) 55 - 69.
Blum, David, Filip Jorissen, Sen Huang, Yan Chen, Javier Arroyo, Kyle Benne, Yanfei Li, Valentin Gavan, Lisa Rivalin, Lieve Helsen, Draguna Vrabie, Michael Wetter, and Marina Sofos. "Prototyping the BOPTEST Framework for Simulation-Based Testing of Advanced Control Strategies in Buildings." IBPSA Building Simulation 2019. Rome, Italy, 2019.
Xu, Xiaodong, Chenhuan Yin, Wei Wang, Ning Xu, Tianzhen Hong, and Qi Li. "Revealing Urban Morphology and Outdoor Comfort through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China." Sustainability 11.13 (2019) 3683.
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.
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.
Lee, Sang Hoon, and Tianzhen Hong. "Validation of an inverse model of zone air heat balance." Building and Environment 161 (2019) 106232.

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