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.
Time-coupled day-ahead wind power scenario generation: A combined regular vine copula and variance reduction method,
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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.