An LLM multi-agent framework decomposes differential-algebraic model discovery into parallel structure search and algebraic closure, recovering state dynamics and constraints from data and outperforming single-agent LLM and symbolic regression baselines on generator and inverter cases.
LLM-DMD: Large Language Model-based Power System Dynamic Model Discovery[J]
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A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework
An LLM multi-agent framework decomposes differential-algebraic model discovery into parallel structure search and algebraic closure, recovering state dynamics and constraints from data and outperforming single-agent LLM and symbolic regression baselines on generator and inverter cases.