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Seminar15112019

Friday, 15th of November

11h (room R2014, 660 building) (see location )

Balthazar Donon

(TAU)

Graph Neural Solvers for Power Systems

We propose a novel neural network architecture based on graph neural network that learns to simulate complex physical systems. Instead of imitating a « classical » solver, it learns by penalizing the violation of physical laws during training, which makes it a completely new and independent method to solve this problem. This novel approach enables a substantial gain in terms of computational time compared to classical methods. More specifically, we apply our method to a problem of power flow prediction on power grids.


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Page last modified on Thursday 31 of October, 2019 15:36:48 CET by guillaume.