Artificial Intelligence and Energy Systems
大型语言模型增强的多智能体系统
Large Language Models-enhanced Multi-agent SystemsA framework integrating Large Language Models (LLMs) with multi-agent architectures to optimize low-carbon energy scheduling. It addresses uncertainties in load and renewable energy generation by coordinating multiple agents to make intelligent decisions. / 一种将大型语言模型（LLM）与多智能体架构集成的框架，用于优化低碳能源调度。它通过协调多个智能体做出智能决策，解决了负荷和可再生能源发电的不确定性。
- Knowledge type
- 实际应用
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-15 16:06:21
Sub-knowledge points
Low-carbon energy schedulingMulti-agent coordinationLoad uncertainty managementRenewable energy uncertainty management
Higher-order knowledge points
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Main parameters and performance indicators
Load Uncertainty: Variability in energy demandRenewable Energy Uncertainty: Fluctuations in renewable generationLLM: Core intelligence for agent reasoningMulti-agent System: Distributed coordination mechanism
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsLarge language models-enhanced multi-agent systems for low-carbon energy scheduling under load and renewable uncertaintiesOpen source
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1 recordsRecord title: Large Language Models-enhanced Multi-agent Systems.
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