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Execution-Feasible Dispatch of LLM Pre-training Loads for Renewable-Dominant AI Data Centers
AI data centers (AIDCs) are emerging as large power-system loads, making their operational flexibility increasingly valuable. Existing studies often treat AIDC demand as continuously adjustable or generically delay-tolerant, which overstating the flexibility of large language model (LLM) pretraining
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