Introduces the Power Systems Agent Benchmark with 41 task families across eight power engineering areas for executable evaluation of AI agents using deterministic feasibility checks.
GridMind: LLMs-powered agents for power system analysis and operations
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3representative citing papers
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.
Grid-Orch is an LLM-orchestrated system with 36 tools that lets users perform distribution grid simulations and optimizations through conversation, matching direct scripting results.
citing papers explorer
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Power Systems Agent Benchmark: Executable Evaluation of AI Agents in Electric Power Engineering
Introduces the Power Systems Agent Benchmark with 41 task families across eight power engineering areas for executable evaluation of AI agents using deterministic feasibility checks.
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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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Grid-Orch: An LLM-Powered Orchestrator for Distribution Grid Simulation and Analytics
Grid-Orch is an LLM-orchestrated system with 36 tools that lets users perform distribution grid simulations and optimizations through conversation, matching direct scripting results.