Power Systems Agent Benchmark: Executable Evaluation of AI Agents in Electric Power Engineering
Executable evaluation -- checking the consequences of an agent's actions with a program rather than grading its prose -- has become a prominent way to assess tool-using AI agents in software settings. Electric power engineering has not yet had an analogous benchmark: language-model use is still dominated by retrieval and text question answering, while agents acting on power-system artifacts remain mostly academic prototypes. We introduce the Power Systems Agent Benchmark, an executable benchmark for power-engineering agents. An agent receives a structured task and returns a structured solution; a deterministic evaluator recomputes the engineering quantities, checks operational constraints...
| Authors | Sergei Trashchenkov |
|---|---|
| Primary category | cs.AI |
| Published | 18 June 2026 |
| Last updated at source | 2 July 2026 |
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