Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/58065

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dc.contributor.authorFoshch, T.por
dc.contributor.authorMachado, José Manuelpor
dc.contributor.authorPortela, Filipepor
dc.contributor.authorMaksimov, M.por
dc.contributor.authorMaksimova, O.por
dc.date.accessioned2019-01-11T13:04:58Z-
dc.date.available2019-01-11T13:04:58Z-
dc.date.issued2017-
dc.identifier.issn2073-6231-
dc.identifier.urihttps://hdl.handle.net/1822/58065-
dc.description.abstractA load-following mode of nuclear power plants (NPP) is a complicated procedure because there are significant changes in many interrelated processes. In order to show which control program (CP) of NPP is better to use, data mining (DM) techniques can be introduced. This study proposes a DM approach in order to show a possibility of using DM regression models for NPP. The datasets for DM were obtained by simulating two static CP of VVER-1000 NPP in Simulink software of Matlab program package.por
dc.description.sponsorship(undefined)por
dc.language.isoengpor
dc.publisherState Scientific and Technical Center for Nuclear and Radiation Safety (SSTC NRS)por
dc.rightsopenAccesspor
dc.subjectData miningpor
dc.subjectNuclear power plantpor
dc.subjectRegression modelspor
dc.subjectVVER-1000por
dc.titleComparison of two control programs of the VVER-1000 nuclear power unit using regression data mining modelspor
dc.typearticlepor
dc.peerreviewedyespor
oaire.citationStartPage11por
oaire.citationEndPage17por
oaire.citationIssue75por
oaire.citationVolume3por
dc.date.updated2019-01-11T12:41:40Z-
dc.identifier.doi10.32918/nrs.2017.3(75).02por
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersionpor
sdum.export.identifier5176-
sdum.journalNuclear and Radiation Safetypor
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

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