Chou received a master’s degree in mechanical engineering from Missouri University of Science and Technology. His research interest is to develop optimal control approaches for HVAC systems using Bayesian inference and reinforcement learning.
Projects
Digital Twinning of Building Cooling Systems
High-Resolution Building Energy Model Bayesian Calibration Framework
This project aims to develop a framework that enables the Bayesian calibration of a building energy simulation model with hourly or sub-hourly historical building operational data.
Grid-Interactive Smart Campus Buildings
This project aims to develop a novel and scalable building energy modelling and optimal control framework by using modern AI techniques to optimize campus building HVAC operations and transform campus buildings into grid-interactive smart buildings.
Publications
Journal Publications
| Journal Publications |
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| Chen, Z., O’Neill, Z., Wen, J., Pradhan, O., Yang, T., Lu, X., Lin, G., Miyata, S., Lee, S., Shen, C., Chiosa, R., Piscitelli, M. S., Capozzoli, A., Hengel, F., Kührer, A., Pritoni, M., Liu, W., Clauß, J., Chen, Y., Herr T. "A review of data-driven fault detection and diagnostics for building HVAC systems" Applied Energy 339 (2023): 121030. |
Conference Publications
| Conference Publications |
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| Shen, C., Lee, S., Lee, CG., Lee, J. "A Novel Framework for Bayesian Calibration of Building Energy Models with Sub-hourly Building Operational Data." 18th International IBPSA Conference Building Simulation 2023, Shanghai, China, Sep 2023. |