The Potential of GPT for Building CPM Analysis: The Case of Seoul

This study aims to utilize GPT performing automated CPM analysis on buildings. Researcher organized electricity energy data for Jongno-gu, Seoul, and trained the data on GPT. Through GPT-generated results, we verify its capability to classify each building type by appropriate CPM model, followed by an analysis of building usage patterns based on CPM model types. The ultimate goal is to enhance automated GPT CPM analysis model, anticipating broader range of users to access in much simplified method. This advancement is expected to open possibilities for applying GPT-based tools across various fields, especially contributing to efficient energy management and informed policy-making in city-level energy analysis.