Reinforcement learning-based intelligent control algorithm for energy-efficient and emission-aware optimization in industrial power systems
This paper proposes a novel Reinforcement Learning–Based Intelligent Control (RL-IC) algorithm for energy-efficient and emission-aware optimization in industrial power systems. Unlike conventional rule-based or model-predictive controllers that rely on fixed dynamics, RL-IC employs a hierarchical dual-objective learnin...