Grid CoPilot: A Large Language Model (LLM) Based Framework for Transforming Long-Term Planning Analyses

This paper presents a novel approach to streamline, analyze, and visualize long-term planning simulation results using a large language model (LLM). We discuss the design, implementation, and performance of GridCoPilot - a first o f its kind tool developed using ChatGPT - to analyze and visualize data from PCM simulations of long term planning studies. Grid Copilot processes PCM data generating concise textual summaries and context-aware visualizations, providing users with comprehensive insights. By automating data processing and visualization tasks, Grid Copilot significantly r educes t he t echnical b arriers t o data analysis for long term planning studies. This enhancement can allow analysts, and policymakers to focus on interpreting results and making informed decisions, rather than grappling with data manipulation and visualization code.