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Grid Demand Flexibility Assessment of AI Data Centers via Batch Workload Temporal Shifting

Su, Suntao et al.
arXiv (All) · Papers
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systems-and-control
The rapid growth of artificial intelligence (AI) data centers has introduced new challenges to power system operation. As their power demand becomes larger and more variable, quantitatively characterizing their demand flexibility is increasingly important for effective power system coordination. How
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