LF Energy Summit Europe 2026

This lightning talk presents the integration of the PowSyBl framework into the datakit of GridFM, two flagship LF Energy projects, to bridge foundation models and industrial-grade power system simulation. GridFM relies on large-scale synthetic data generation, such as load flows, to train a foundation model, where training data quality directly impacts model performance during inference.
The integration of PowSyBl brings several key benefits. It extends GridFM to realistic and industrial-grade network models by supporting multiple formats (CIM, CGMES, PSS/E), enabling the use of richer and more representative datasets. It provides access to an industrial-grade load flow solver through Open Load Flow, improving the physical consistency and accuracy of generated data. Finally, it enables the generation of dynamic simulation data through Dynawo, opening the way to foundation models trained on both static and dynamic grid behaviours.
Overall, this integration is a key step toward the industrialization of grid foundation models, enabling their application to real-world power system studies.