Safety-Constrained Deep Reinforcement Learning for Source–Load–Storage Coordinated Operation of Green Low-Carbon Data Centers
A safety-constrained deep reinforcement learning framework for source–load–storage coordinated operation of a grid-connected green data center and shows how separating reward learning, cumulative safety pricing, and one-step engineering projection changes low-carbon dispatch within the specified model.