Software
Paper companion: Towards dynamic stability analysis of sustainable power grids using graph neural networks (Neurips Workshop Climate Change AI)
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- 371
Unique downloads and views across all versions, as counted by Zenodo on 11 October 2026. This version: 783 downloads, 371 views.
- Authors
- Nauck, Christian Lindner, Michael Schürholt, Konstantin Hellmann, Frank
- Research Domain
- RD4 - Complexity Science
- License
- cc-by-4.0
- Files
- 9 (2.6 GB)
Description
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. For further information check GitHub: https://github.com/PIK-ICoNe/dynamic_stability_gnn_neurips_climate_workshop.git