# Power Flow Feasibility Assessment Using Variational Graph Autoencoders

> Source: <https://www.machinebrief.com/news/power-flow-feasibility-assessment-using-variational-graph-au-5vey>
> Published: 2026-07-13 04:00:00+00:00

# Power Flow Feasibility Assessment Using Variational Graph Autoencoders

By Ferran Bohigas-Daranas, Hamid Latif-Martinez, Eduardo Prieto-Araujo, Pere Barlet-Ros, Oriol Gomis-BellmuntSource:

[arXiv cs.LG](https://arxiv.org/list/cs.LG/recent)arXiv:2607.09122v1 Announce Type: new
Abstract: Data-driven methods, including graph neural networks, have been studied for accelerating power flow calculations in recent years, but very little

[attention](/glossary/attention)has been paid to the solution feasibility, which can be obtained by traditional solvers. This paper presents a Variational Graph[Autoencoder](/glossary/autoencoder)(VGAE) that detects the power flow solution feasibility, using the IEEE 118-bus case, to assess the validity of the solutions provided by AI-driven solvers.Get AI news in your inbox

Daily digest of what matters in AI.