Published August 1, 2023 | Version v1

Paper Companion: Toward Dynamic Stability Assessment of Power Grid Topologies using Graph Neural Networks

Description

This is the paper companion to the paper: Toward Dynamic Stability Assessment of Power Grid Topologies using
Graph Neural Networks. DOI of paper: https://doi.org/10.1063/5.0160915

Corresponding GitHub repository: https://github.com/PIK-ICoNe/dynamic_stability_datasets_gnn_paper-companion

The datasets can be found at the following repository: https://doi.org/10.5281/zenodo.8205284

 

 

Files

analyze_runs.ipynb

Files (2.7 GB)

Name Size
md5:4ec184eddf63d3bb7acf82f854a225dc
194.0 kB Preview Download
md5:d42832e802593ed3591b787402e430a0
8.5 kB Preview Download
md5:a001590a43fe1a433fd3ad20db20f607
1.8 MB Preview Download
md5:563b93ff84b728bf2f9861222ab6318d
37.5 kB Download
md5:a9bdff8e638054c70e607a5d71b62e1a
22.5 kB Download
md5:43c154f22f8e1f5c19a75ffcc405b870
2.8 kB Preview Download
md5:c1df184488fa4cc01559289fcd11fd5d
1.6 kB Preview Download
md5:b1338ea3abe2974343f6b79ee7b943b2
789.1 MB Preview Download
md5:2139ef7a02157c5bac8fe53461a84ca1
1.3 GB Preview Download
md5:df5979e293b55afbdbe49154fe916bea
614.1 MB Preview Download

Additional details

Related works

Is cited by
Journal article: 10.1063/5.0160915 (DOI)