Foundation Models for the Electric Power Grid
Abstract
Foundation models (FMs) currently dominate news headlines. They employ advanced deep learning architectures to extract structural information autonomously from vast datasets through self-supervision. The resulting rich representations of complex systems and dynamics can be applied to many downstream applications. Therefore, FMs can find uses in electric power grids, challenged by the energy transition and climate change. In this paper, we call for the development of, and state why we believe in, the potential of FMs for electric grids. We highlight their strengths and weaknesses amidst the challenges of a changing grid. We argue that an FM learning from diverse grid data and topologies could unlock transformative capabilities, pioneering a new approach in leveraging AI to redefine how we manage complexity and uncertainty in the electric grid. Finally, we discuss a power grid FM concept, namely GridFM, based on graph neural networks and show how different downstream tasks benefit.
Keywords
Cite
@article{arxiv.2407.09434,
title = {Foundation Models for the Electric Power Grid},
author = {Hendrik F. Hamann and Thomas Brunschwiler and Blazhe Gjorgiev and Leonardo S. A. Martins and Alban Puech and Anna Varbella and Jonas Weiss and Juan Bernabe-Moreno and Alexandre Blondin Massé and Seong Choi and Ian Foster and Bri-Mathias Hodge and Rishabh Jain and Kibaek Kim and Vincent Mai and François Mirallès and Martin De Montigny and Octavio Ramos-Leaños and Hussein Suprême and Le Xie and El-Nasser S. Youssef and Arnaud Zinflou and Alexander J. Belyi and Ricardo J. Bessa and Bishnu Prasad Bhattarai and Johannes Schmude and Stanislav Sobolevsky},
journal= {arXiv preprint arXiv:2407.09434},
year = {2024}
}
Comments
Major equal contributors: H.F.H., T.B., B.G., L.S.A.M., A.P., A.V., J.W.; Significant equal contributors: J.B., A.B.M., S.C., I.F., B.H., R.J., K.K., V.M., F.M., M.D.M., O.R., H.S., L.X., E.S.Y., A.Z.; Other equal contributors: A.J.B., R.J.B., B.P.B., J.S., S.S; Lead contact: H.F.H