PowerCodeBench and a boundary-aware intervention raise LLM accuracy on power-system code generation by 32-56 points across ten open-weight models and four commercial APIs on a 2,000-task benchmark.
Enhancing llms for power system simulations: A feedback-driven multi-agent framework
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An LLM-enhanced MARL system with differential attention critic produces lower economic costs and voltage violations than baselines in simulated real-time P2P electricity trading.
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Knowledge Boundary Probing and Demand-Guided Intervention for LLM-Based Power System Code Generation
PowerCodeBench and a boundary-aware intervention raise LLM accuracy on power-system code generation by 32-56 points across ten open-weight models and four commercial APIs on a 2,000-task benchmark.
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LLM-Enhanced Multi-Agent Reinforcement Learning with Expert Workflow for Real-Time P2P Energy Trading
An LLM-enhanced MARL system with differential attention critic produces lower economic costs and voltage violations than baselines in simulated real-time P2P electricity trading.