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What is Enhancing Data Center Energy Efficiency about?

This study focuses on enhancing the energy efficiency of data centers (DCs) through machine learning algorithms, specifically targeting the optimization of power usage effectiveness (PUE). Implemented at Tencent Tianjin DC, the proposed methods achieved a PUE reduction of 0.005, translating to an annual energy saving of approximately 1500 MWh. The research highlights the potential of data-driven approaches in improving operational efficiency and environmental sustainability in large-scale DCs.

Author

Dede Erland Ramadhan

Language

EN