LF Energy Summit Europe 2026

This hands-on tutorial introduces our end-to-end framework released through the OpenGridFM project, enabling the development and deployment of GridFM models for steady-state grid analysis.
Participants will work with notebooks to generate synthetic but realistic power-flow and optimal-power-flow datasets using gridfm-datakit, including load variation, generator-dispatch variation, topology perturbations, and configurable grid cases. They will then use gridfm-graphkit to train and evaluate GENCO, a unified graph neural solver, in a low-code environment and compare its performance against classical solvers. For advanced participants, the tutorial will also explain how to implement, integrate, and benchmark custom model architectures using the framework and the provided benchmarking datasets.
The tutorial is designed for power-system practitioners, researchers, and developers who want to contribute to OpenGridFM or apply its tools in their own workflows. No prior experience with the project is required; familiarity with Python and basic power-system concepts is helpful.