25 citations · 58 across the 14 of their papers we have counts for
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cs.LG2022
Learning the Evolution of Correlated Stochastic Power System Dynamics
Tyler E. Maltba, Vishwas Rao, Daniel Adrian Maldonado
A machine learning technique is proposed for quantifying uncertainty in power system dynamics with spatiotemporally correlated stochastic forcing. We learn one-dimensional linear p…
cs.LG2019★ 2 cited
Using recurrent neural networks for nonlinear component computation in advection-dominated reduced-order models
Romit Maulik, Vishwas Rao, Sandeep Madireddy +2
Rapid simulations of advection-dominated problems are vital for multiple engineering and geophysical applications. In this paper, we present a long short-term memory neural network…