1. Repositório Aberto da Universidade do Porto
  2. FEUP - Faculdade de Engenharia
  3. FEUP - Artigo em Revista Científica Internacional
Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/94785
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dc.creatorJakov Krstulovic
dc.creatorVladimiro Miranda
dc.creatorAntónio J. A. Simões Costa
dc.creatorJorge Pereira
dc.date.accessioned2022-09-07T13:45:49Z-
dc.date.available2022-09-07T13:45:49Z-
dc.date.issued2013
dc.identifier.issn0885-8950
dc.identifier.othersigarra:95697
dc.identifier.urihttps://hdl.handle.net/10216/94785-
dc.description.abstractThis paper presents a model for breaker status identification and power system topology estimation based on a mosaic of local auto-associative neural networks. The approach extracts information from values of the analog electric variables and allows the recovery of missing sensor signals or the correction of erroneous data about breaker status. The results are confirmed by extensive tests conducted on an IEEE benchmark network.
dc.language.isoeng
dc.rightsrestrictedAccess
dc.subjectEngenharia electrotécnica, Engenharia electrotécnica, electrónica e informática
dc.subjectElectrical engineering, Electrical engineering, Electronic engineering, Information engineering
dc.titleTowards an auto-associative topology state estimator
dc.typeArtigo em Revista Científica Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.contributor.uportoFaculdade de Economia
dc.identifier.doi10.1109/tpwrs.2012.2236656
dc.identifier.authenticusP-006-8JP
dc.subject.fosCiências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
dc.subject.fosEngineering and technology::Electrical engineering, Electronic engineering, Information engineering
Appears in Collections:FEP - Artigo em Revista Científica Internacional
FEUP - Artigo em Revista Científica Internacional

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