Abstract: Forecasting energy consumption is critical for maximizing resource utilization, lowering operational costs, and increasing sustainability. Traditional machine learning models often function ...

Abstract: Model-free deep reinforcement learning has emerged as a promising method for addressing the scheduling challenges in integrated energy systems. However, uncertainty in system states ...