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.
Stochastic optimization and markov chain-based scenario generation for exploiting the underlying flexibilities of an active distribution network,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.