45 citations · 101 across the 13 of their papers we have counts for
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cs.LG2021★ 2 cited
Transient Stability Analysis with Physics-Informed Neural Networks
Jochen Stiasny, Georgios S. Misyris, Spyros Chatzivasileiadis
We explore the possibility to use physics-informed neural networks to drastically accelerate the solution of ordinary differential-algebraic equations that govern the power system…
cs.LG2021★ 2 cited
Accelerating Dynamical System Simulations with Contracting and Physics-Projected Neural-Newton Solvers
Samuel Chevalier, Jochen Stiasny, Spyros Chatzivasileiadis
Recent advances in deep learning have allowed neural networks (NNs) to successfully replace traditional numerical solvers in many applications, thus enabling impressive computing g…