Published November 24, 2022
| Version v1
Conference paper
Open
Paper companion: Towards dynamic stability analysis of sustainable power grids using graph neural networks (Neurips Workshop Climate Change AI)
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
Files
datasets.zip
Files
(2.6 GB)
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md5:577461a439ef715e2d7bbf75144a825d
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md5:041a16d884822cfe75b0ec36240f6c99
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md5:979d9b90c4682e82aad1a285050af3c0
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md5:5cfc3356173595ce49a7c8b502ec76e2
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md5:7636aa1ed13cefc4f93214bd93625e04
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md5:e83569a276ee87cdbe51e787fac1118e
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2.4 GB | Preview Download |
md5:bc444328a3c3d60fe5dbe2ea3471583d
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2.8 kB | Preview Download |
md5:e358d4f40f32a2622d5013b88cb5c1f3
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2.4 kB | Preview Download |
md5:1267330e6198bb2ed3c1ab0de01f5756
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3.4 kB | Preview Download |