DOE OSTI · 3015027
Co-Simulation Meets AI: MCP-Driven Power System Analysis
Abstract
GridGPT, a fine-tuned Generative AI model is designed for on-premise use in grid control rooms. This presentation will demonstrate how eGridGPT can seamlessly integrate with control room solutions to offer operators, engineers, and corporate users enhanced guidance and decision support. It is to show how this innovative AI solution can improve state estimation, boost variable energy forecasting, and optimize grid operations. By leveraging eGridGPT's unique features, audience will learn to unlock new levels of automation, predictive analytics, and reliability within their power systems, ultimately leading to reduced downtime and improved operational efficiency.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Jain, Rishabh [National Laboratory of the Rockies, Golden, CO (United States)], Choi, Seong [National Laboratory of the Rockies, Golden, CO (United States)]. 2026-01-21. Co-Simulation Meets AI: MCP-Driven Power System Analysis. https://doi.org/10.2172/3015027
Cite the original work for its findings. Save a collection to share your selection of sources.