4 citations · 11 across the 4 of their papers we have counts for
4 papers
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…
Power grid operational risk assessment using graph neural network surrogates
Yadong Zhang, Pranav M Karve, Sankaran Mahadevan
We investigate the utility of graph neural networks (GNNs) as proxies of power grid operational decision-making algorithms (optimal power flow (OPF) and security-constrained unit c…
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…
Just-In-Time Learning for Operational Risk Assessment in Power Grids
Oliver Stover, Pranav Karve, Sankaran Mahadevan +4
In a grid with a significant share of renewable generation, operators will need additional tools to evaluate the operational risk due to the increased volatility in load and genera…