Ruipeng Guo

An energy-saving strategy for edge data center clusters driven by deep learning and real-time load forecasting

To address energy-saving optimization in edge data center clusters under high-density cabinet deployment, dynamic workload fluctuations, and increasingly strict energy-efficiency constraints, this paper proposes a collaborative energy-saving strategy driven by deep learning and r...