Guangdong Hydropower Planning & Design Institute

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...

Experimental study on the reinforcement performance of unloading-damaged mudstone by microbial grouting

<title>Abstract</title> To address the structural deterioration and water-induced swelling of mudstone caused by unloading damage during foundation excavation, grouting reinforcement tests using MICP and volcanic ash-assisted MICP were conducted. Mudstone specimens with unloading...