GridFM starter kit

In this workshop, we will introduce and walk attendees through gridfm-datakit and gridfm-graphkit, two Python libraries that consolidate previously scattered state-of-the-art practices in data generation and modeling for power systems. Developed to support the growing use of learning-based methods for tasks such as power flow and contingency analysis, these tools address the lack of standardized datasets and model implementations that have hampered comparability, limited scalability, and confined research to overly simplified grids and settings. Our goal is to establish gridfm-datakit as the standard for model training and benchmarking, and gridfm-graphkit as the foundation for future neural power system analysis tools.