Enzhan Zhang

Physics-Guided Neural ODEs for Building Thermal Prediction and Model Predictive Control

Building supervisory control requires accurate, prior-consistent, and computationally tractable thermal models. This study proposes a physics-guided neural ordinary differential equation (PG-NODE) framework for thermal prediction and model predictive control (MPC). It combines a resistance–capacitance (RC)-inspired ref...