J. Yamé

Comparative Study of Deep Q-Network-Based Reinforcement Learning and Model Predictive Control for Zone Comfort and Energy Optimization in VAV-Controlled HVAC

HVAC systems account for a major part of building energy consumption, making advanced control strategies essential. This paper compares Deep Q-Network (DQN)-based reinforcement learning and model predictive control (MPC) for thermal comfort and energy optimization in a VAV-controlled HVAC system. Both approaches are ev...