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

Nauck, Christian; Lindner, Michael; Schürholt, Konstantin; Hellmann, Frank

doi:10.5281/zenodo.7357903

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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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引用

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. doi:10.5281/zenodo.7357903.

引用: https://publications.pik-potsdam.de/pubman/item/item_27578

要旨

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.