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LLM-powered Grid-Orch simplifies power grid analysis via natural language

Researchers have developed Grid-Orch, a novel framework that integrates Large Language Models (LLMs) with power system simulation tools like OpenDSS. This system allows engineers to perform complex distribution grid analyses using natural language commands, significantly reducing the time required for tasks such as DER interconnection screening. Grid-Orch supports various LLMs, including cloud-based Gemini and Claude, as well as local deployments like Ollama and llama.cpp, offering flexibility for different operational environments. The framework includes 36 domain-specific tools and three optimization skills, providing a comprehensive solution for power engineering challenges. AI

IMPACT Enables faster, more accessible power grid analysis through natural language interaction with LLMs.

RANK_REASON The cluster describes a research paper detailing a new framework for power grid simulation. [lever_c_demoted from research: ic=1 ai=0.7]

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LLM-powered Grid-Orch simplifies power grid analysis via natural language

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Boming Liu, Jin Dong, Jianming Lian ·

    Grid-Orch: An LLM-Powered Orchestrator for Distribution Grid Simulation and Analytics

    arXiv:2605.12728v2 Announce Type: replace-cross Abstract: The power distribution engineering workforce faces a projected shortage of up to 1.5 million engineers by 2030, creating urgent demand for more accessible analysis tools. This paper introduces Grid-Orch, a framework that b…