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An Online Dynamic Security Assessment in Power Systems Using RBF-R Neural Networks

dc.contributor.authorJafarzadeh, S.
dc.contributor.authorGenc, V. M. I.
dc.contributor.authorCataltepe, Z.
dc.contributor.ituauthorGenç, Veysel Murat İstemihan
dc.contributor.ituauthorÇataltepe, Zehra
dc.date.accessioned2026-01-25T10:33:19Z
dc.date.issued2018-09-30
dc.description.abstractIn this paper, the dynamic security of a large power system against any critical contingency is predicted by a new type of radial basis function neural network, RBF-R NN, as it classifies the syste...
dc.description.urihttps://doi.org/10.1080/03772063.2018.1527258
dc.description.urihttps://dx.doi.org/10.1080/03772063.2018.1527258
dc.description.urihttps://aperta.ulakbim.gov.tr/record/233622
dc.identifier.doi10.1080/03772063.2018.1527258
dc.identifier.eissn0974-780X
dc.identifier.endpage48
dc.identifier.issn0377-2063
dc.identifier.openairedoi_dedup___::81656b409c290badf875cbc036a13a41
dc.identifier.orcid0000-0002-6983-3137
dc.identifier.orcid0000-0001-7077-8895
dc.identifier.orcid0000-0002-9742-5907
dc.identifier.startpage36
dc.identifier.urihttps://hdl.handle.net/11527/49714
dc.identifier.volume67
dc.language.isoeng
dc.publisherInforma UK Limited
dc.relation.ispartofIETE Journal of Research
dc.rightsOPEN
dc.titleAn Online Dynamic Security Assessment in Power Systems Using RBF-R Neural Networks
dc.typeArticle
dspace.entity.typePublication
person.identifier.orcid0000-0001-7077-8895
person.identifier.orcid0000-0002-9742-5907

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