Privacy-Preserving Coordinated Operation of Power Grids and AI Data Centers: A Checkpoint-Aware Three-Phase Scheme

arXiv:2609.26365 · eess.SY, cs.SY · Submitted 2026-09-22 · Read on arXiv

eess.SY, cs.SY

Submitted: 2026-09-22

Updated: 2026-09-22

Code: https://github.com/TsMikeLiu/parameters_for_ieee14_and_NYISO

Terminology

• Fine-Tuning — 10× in this paper · explained in 5 episodes
• Objective Function — 3× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Energy Efficiency — 1× in this paper · explained in 3 episodes
• North American Electric Reliability Corporation — 1× in this paper
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• The Llama 3 Herd of Models
• FREESH: Fair, Resource- and Energy-Efficient Scheduling for LLM Serving on Heterogeneous GPUs
• Electricity Demand and Grid Impacts of AI Data Centers: Challenges and Prospects

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