Building Technology and Urban Systems Division

Van Cutsem, Olivier, Maher Kayal, David Blum, and Marco Pritoni. "Comparison of MPC Formulations for Building Control under Commercial Time-of-Use Tariffs." IEEE PowerTech Milan 2019. 2019.

Lin, Jiang, David Fridley, Hongyou Lu, Lynn K Price, and Nan Zhou. "Has coal use peaked in China: Near-term trends in China’s coal consumption." Energy Policy 123 (2018) 208–214.

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Mathew, Paul A, Philip Coleman, Janie Page, Cynthia Regnier, Jordan Shackelford, Greg Hopkins, Matt Jungclaus, and Victor Olgyay. Energy Efficiency and the Real Estate Lifecycle: Stakeholder Perspectives. 2019.

Touzani, Samir, Jessica Granderson, David A Jump, and Derrick Rebello. "Evaluation of Methods to Assess the Uncertainty in Estimated Energy Savings." Energy and Buildings 193 (2019).

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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.

Kramer, Hannah, Guanjing Lin, Claire Curtin, Eliot Crowe, and Jessica Granderson. "Building analytics and monitoring-based commissioning: industry practice, costs, and savings." Energy Efficiency (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.

Aghajanzadeh, Arian, Michael D Sohn, Michael A Berger, and Diana J Bauer. Water-Energy Considerations in Californian’s Agricultural Sector and Opportunities Provide Flexibility to California’s Grid. 2019.

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

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, 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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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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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. "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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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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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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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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Sangogboye, Fisayo Caleb, Ruoxi Jia, Tianzhen Hong, Costas Spanos, and Mikkel Baun Kjærgaard. "A Framework for Privacy-Preserving Data Publishing with Enhanced Utility for Cyber-Physical Systems." ACM Transactions on Sensor Networks 14.3-4 (2018) 1–22.

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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.

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