Using Data-Driven Simulation Models for Deep Reinforcement Learning Based HVAC Control
This manuscript summarizes ongoing doctoral research on control of building heating, ventilation, and air conditioning (HVAC) systems through deep reinforcement learning trained on data-driven simulators. The thesis investigates whether multivariate time-series forecasting models can act as reliable surrogates of physi...