Zhanhong Jiang
- Data-driven control of airborne infection risk and energy use in buildings. Dans: Building and Environment, v. 245 (novembre 2023). (2023):
- A timeseries supervised learning framework for fault prediction in chiller systems. Dans: Energy and Buildings, v. 285 (avril 2023). (2023):
- Modeling and multiobjective optimization of indoor airborne disease transmission risk and associated energy consumption for building HVAC systems. Dans: Energy and Buildings, v. 253 (décembre 2021). (2021):
- Quantifying the Tradeoff Between Energy Consumption and the Risk of Airborne Disease Transmission for Building HVAC Systems. Dans: Science and Technology for the Built Environment, v. 28, n. 2 (décembre 2021). (2021):
- Building HVAC control with reinforcement learning for reduction of energy cost and demand charge. Dans: Energy and Buildings, v. 239 (mai 2021). (2021):