Zhi-Hui Guo

Surrogate-Assisted Deep Reinforcement Learning for Commercial HVAC Optimal Control Considering Thermal Inertia

Commercial buildings can provide operational flexibility through HVAC control because thermal inertia enables short-term load shifting under time-of-use (TOU) electricity pricing. However, direct reinforcement learning interaction with a high-fidelity building simulator is computationally expensive and may generate und...