Co-Simulation Meets AI: MCP-Driven Power System Analysis

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Authors: Rishabh Jain, Seong Lok Choi
Cited by: 0

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.

Fields of Study & Subjects

Smart Grid and Power Systems Power System Optimization and Stability Power Systems and Technologies

Publication details

Journal / source
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Publication date
21 January 2026
Language
EN