A diffusion model is used to augment rewards in deep reinforcement learning for coordinated AIGC workload scheduling and energy management across distributed data centers.
Optimal sizing of energy station in the multienergy system integrated with data center,
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Joint Energy Management and Coordinated AIGC Workload Scheduling for Distributed Data Centers: A Diffusion-Aided Reward Shaping Approach
A diffusion model is used to augment rewards in deep reinforcement learning for coordinated AIGC workload scheduling and energy management across distributed data centers.