Software
Paper companion: Towards dynamic stability analysis of sustainable power grids using graph neural networks (Neurips Workshop Climate Change AI)
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- 795
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- 385
Unique downloads and views across all versions, as counted by Zenodo on 1 November 2026. This version: 795 downloads, 385 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