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

TítuloComparison of two control programs of the VVER-1000 nuclear power unit using regression data mining models
Autor(es)Foshch, T.
Machado, José Manuel
Portela, Filipe
Maksimov, M.
Maksimova, O.
Palavras-chaveData mining
Nuclear power plant
Regression models
VVER-1000
Data2017
EditoraState Scientific and Technical Center for Nuclear and Radiation Safety (SSTC NRS)
RevistaNuclear and Radiation Safety
Resumo(s)A 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.
TipoArtigo
URIhttps://hdl.handle.net/1822/58065
DOI10.32918/nrs.2017.3(75).02
ISSN2073-6231
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

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