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Author

A. Berizzi

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Preprint Nov 2026

TuneBench: Benchmarking AI Agents for Power System Dynamic Model Calibration

Large Language Model (LLM)-based agents can automate complex engineering workflows by interacting with tools, interpreting feedback, and making iterative decisions. This paper introduces TuneBench, a benchmark for evaluating Agentic AI in power system dynamic model calibration, where controller parameters are adjusted...

Andrea Pomarico, S. Tessitore, G. Giannuzzi et al. · 0 citations
#artificial intelligence Preprint Aug 2026

RestoreBench: Can AI Agents Restore Power Flow Convergence?

A benchmark that evaluates diagnostic and resolving non-convergent power flow cases across multiple LLMs and three architectures, providing a reproducible foundation for developing agentic AI systems for power system planning and operation.

Riccardo Mansutti, Andrea Pomarico, Robert Jakob et al. · 0 citations

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