Predicting basin stability of power grids using graph neural networks

Christian Nauck, Michael Lindner, Konstantin Schürholt, Haoming Zhang, Paul Schultz, Jürgen Kurths, Ingrid Isenhardt, Frank Hellmann

Open source

DOI: 10.1088/1367-2630/ac54c9
Published: 2022-04-01
Container: New Journal of Physics
Publisher: IOP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/1367-2630/ac54c9,
  title = {Predicting basin stability of power grids using graph neural networks},
  author = {Christian Nauck and Michael Lindner and Konstantin Schürholt and Haoming Zhang and Paul Schultz and Jürgen Kurths and Ingrid Isenhardt and Frank Hellmann},
  year = {2022},
  journal = {New Journal of Physics},
  doi = {10.1088/1367-2630/ac54c9},
  url = {https://doi.org/10.1088/1367-2630/ac54c9}
}

RIS

TY  - JOUR
TI  - Predicting basin stability of power grids using graph neural networks
AU  - Christian Nauck
AU  - Michael Lindner
AU  - Konstantin Schürholt
AU  - Haoming Zhang
AU  - Paul Schultz
AU  - Jürgen Kurths
AU  - Ingrid Isenhardt
AU  - Frank Hellmann
PY  - 2022
JO  - New Journal of Physics
DO  - 10.1088/1367-2630/ac54c9
UR  - https://doi.org/10.1088/1367-2630/ac54c9
ER  -

APA

Nauck, C., Lindner, M., Schürholt, K., Zhang, H., Schultz, P., Kurths, J., Isenhardt, I., & Hellmann, F. (2022). Predicting basin stability of power grids using graph neural networks. New Journal of Physics. https://doi.org/10.1088/1367-2630/ac54c9

Source records

crossref · retrieved 2026-09-27T12:00:59.142Z