Deep learning

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.

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Touzani, Samir, Marc Wudunn, Samuel Fernandes, Avideh Zakhor, Rohullah Najibi, and Jessica Granderson. A MACHINE LEARNING APPROACH TO ESTIMATE WINDOWS-TO-WALL RATIO USING DRONE IMAGER. 2021.

Wang, Zhe, Tianzhen Hong, and Mary Ann Piette. "Building thermal load prediction through shallow machine learning and deep learning." Applied Energy 263 (2020) 114683.

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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, 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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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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