most citedGraph neural networks for power grid operational risk assessment under evolving grid topology

4 citations · 7 across the 3 of their papers we have counts for

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eess.SY2024★ 4 cited

Graph neural networks for power grid operational risk assessment under evolving grid topology

Yadong Zhang, Pranav M Karve, Sankaran Mahadevan

This article investigates the ability of graph neural networks (GNNs) to identify risky conditions in a power grid over the subsequent few hours, without explicit, high-resolution…

eess.SY2023★ 1 cited

Operational risk quantification of power grids using graph neural network surrogates of the DC OPF

Yadong Zhang, Pranav M Karve, Sankaran Mahadevan

A DC OPF surrogate modeling framework is developed for Monte Carlo (MC) sampling-based risk quantification in power grid operation. MC simulation necessitates solving a large numbe…