An LLM-based multi-module agent uses experience storage, retrieval, generation, and modification to produce adaptive day-ahead Volt/Var schedules for distribution network voltage control.
Real -Time Optimal Power Flow With Linguistic Stipulations: Integrating GPT-Agent and Deep Reinforcement Learning,
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Large Language Model as An Operator: An Experience-Driven Solution for Distribution Network Voltage Control
An LLM-based multi-module agent uses experience storage, retrieval, generation, and modification to produce adaptive day-ahead Volt/Var schedules for distribution network voltage control.