Publications: Modeling & Simulation

2019

Karaguzel, Omer T, Mohammed Elshambakey, Yimin Zhu, and Tianzhen Hong. "OPEN COMPUTING INFRASTRUCTURE FOR SHARING DATA ANALYTICS TO SUPPORT BUILDING ENERGY SIMULATIONS." 2019.

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Singh, Reshma, Baptiste Ravache, and Mary Ann Piette. Energy Modeling in Urban Districts: Forecast of multi-sector Energy Use and GHG Emissions. 2019. 2001218.

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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.

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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.

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Hong, Tianzhen, and Sang Hoon Lee. "Integrating physics-based models with sensor data: An inverse modeling approach." Building and Environment 154 (2019) 23 - 31.

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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.

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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.

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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.

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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.

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Wetter, Michael, and Jianjun Hu. Quayside Energy Systems Analysis. 2019. LBNL 2001197.

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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.

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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.

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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.

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2018

Xu, Xiaodong, Fenlan Luo, Wei Wang, Tianzhen Hong, and Xiuzhang Fu. "Performance-Based Evaluation of Courtyard Design in China’s Cold-Winter Hot-Summer Climate Regions." Sustainability 10.11 (2018) 3950.

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Wang, Taoning, Gregory Ward, and Eleanor S Lee. "Efficient modeling of optically-complex, non-coplanar exterior shading: Validation of matrix algebraic methods." Energy and Buildings 174 (2018) 464 - 483.

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Blum, David, Guanjing Lin, Michael Spears, Janie Page, and Jessica Granderson. "When Data Analytics Meet Site Operation: Benefits and Challenges." 2018 ACEEE Summer Study on Energy Efficiency in Buildings. 2018.

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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.

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Wang, Wei, Jiayu Chen, and Tianzhen Hong. "Modeling occupancy distribution in large spaces with multi-feature classification algorithm." Building and Environment 137 (2018).

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2017

Granderson, Jessica, Guanjing Lin, David Blum, Shankar Earni, Janie Page, and Mary Ann Piette. Optimizing Operational Efficiency: Integrating Energy Information Systems and Model-Based Diagnostics. 2017.

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Parker, Andrew, Philip Haves, Subhash Jegi, Vishal Garg, and Baptiste Ravache. "Development of Automated Procedures to Generate Reference Building Models for ASHRAE Standard 90.1 and India’s Building Energy Code and Implementation in OpenStudio." Building Simulation 2017. San Francisco, CA, 2017. LBNL-2001052.

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Blum, David, and Michael Wetter. "MPCPy: An Open-Source Software Platform for Model Predictive Control in Buildings." Proceedings of the 15th IBPSA Conference: Building Simulation 2017. San Francisco, 2017. LBNL-2001226.

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Piette, Mary Ann, Tianzhen Hong, William J Fisk, Norman Bourassa, Wanyu R Chan, Yixing Chen, H.Y. Iris Cheung, Toshifumi Hotchi, Margarita Kloss, Sang Hoon Lee, Phillip N Price, Oren Schetrit, Kaiyu Sun, Sarah C Taylor-Lange, and Rongpeng Zhang. Small and Medium Building Efficiency Toolkit and Community Demonstration Program. 2017. LBNL-2001054.

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Maccarini, Alessandro, Michael Wetter, Alireza Afshari, Goran Hultmark, Niels Bergsoe, and Anders Vorre. "Energy saving potential of a two-pipe system for simultaneous heating and cooling of office buildings." Energy and Buildings 134 (2017) 234 - 247.

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Sun, Kaiyu, and Tianzhen Hong. A Framework for Quantifying the Impact of Occupant Behavior on Energy Savings of Energy Conservation Measures. 2017.

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An, Jingjing, Da Yan, Tianzhen Hong, and Kaiyu Sun. A Novel Stochastic Modeling Method to Simulate Cooling Loads in Residential Districts. 2017.

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