A physics-aware LLM framework generates high-fidelity probabilistic wind power scenarios under extreme icing by enforcing physical constraints like power limits and ramp rates on trajectories from real SCADA data.
Probabilistic load flow method based on nataf transformation and latin hypercube sampling,
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Physics-Aware LLM-Based Probabilistic Wind Power Scenario Generation under Extreme Icing Conditions
A physics-aware LLM framework generates high-fidelity probabilistic wind power scenarios under extreme icing by enforcing physical constraints like power limits and ramp rates on trajectories from real SCADA data.