An LLM agent with static pre-check, dynamic feedback, and semantic validation generates MATPOWER code from natural language for power grid analysis at 82.38% fidelity.
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Agentic Application in Power Grid Static Analysis: Automatic Code Generation and Error Correction
An LLM agent with static pre-check, dynamic feedback, and semantic validation generates MATPOWER code from natural language for power grid analysis at 82.38% fidelity.