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.