Reinforcement Learning-Based Building Energy Optimization for Flexibility Markets
The rapid growth of energy markets and demand-side response programs has created a significant need for intelligent building-level control strategies to capture high volatility energy consumption in response to price signals and grid conditions. This paper presents a reinforcement learning (RL)-based building energy ma...