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Paper companion: Towards dynamic stability analysis of sustainable power grids using graph neural networks (Neurips Workshop Climate Change AI)

Authors
/persons/resource/nauck

Nauck,  Christian
Potsdam Institute for Climate Impact Research;

/persons/resource/Michael.Lindner

Lindner,  Michael
Potsdam Institute for Climate Impact Research;

Schürholt,  Konstantin
External Organizations;

/persons/resource/frank.hellmann

Hellmann,  Frank
Potsdam Institute for Climate Impact Research;

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Citation

Nauck, C., Lindner, M., Schürholt, K., Hellmann, F.(2022): Paper companion: Towards dynamic stability analysis of sustainable power grids using graph neural networks (Neurips Workshop Climate Change AI), Geneva : CERN / Zenodo.
https://doi.org/10.5281/zenodo.7357903


Cite as: https://publications.pik-potsdam.de/pubman/item/item_27578
Abstract
This repository contains the relevant information to reproduce the results of the paper "Towards dynamical stability analysis of sustainable power grids using Graph Neural Networks" published at Tackling Climate Change with Machine Learning: workshop at NeurIPS 2022.