dc.contributor.author | Zell, Andreas | |
dc.date.accessioned | 2024-01-09T11:50:59Z | |
dc.date.available | 2024-01-09T11:50:59Z | |
dc.date.issued | 2023-05-05 | |
dc.identifier.isbn | 978-1-7281-6327-7 | |
dc.identifier.issn | 2379-190X | |
dc.identifier.uri | http://hdl.handle.net/10900/149097 | |
dc.language.iso | en | de_DE |
dc.publisher | IEEE | de_DE |
dc.relation.uri | https://doi.org/10.1109/ICASSP49357.2023.10094619 | de_DE |
dc.subject.ddc | 004 | de_DE |
dc.title | Data-Driven Graph Convolutional Neural Networks for Power System Contingency Analysis | de_DE |
dc.type | Article | de_DE |
utue.personen.roh | Zell, Andreas | |
utue.personen.roh | Rueß, Johannes | |
utue.personen.roh | Bolz, Valentin | |
dcterms.isPartOf.ZSTitelID | ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | de_DE |
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