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Jul 2026

PowerAtlas: Towards Electricity-Computing Co-Scheduling for Power Systems

The rapid growth of AI workloads is turning data centers into large-scale, volatile, yet spatiotemporally flexible grid loads, creating an urgent need for coordinated electricity-computing scheduling. Under stringent grid constraints, schedules from general-purpose large language models (LLMs) are often infeasible, cau...

Kaiwen Jiang, Si-Ya Xu, Zi-Yue Zhu et al. · 0 citations

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