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dc.contributor.authorDuarte, Jéssicapt_BR
dc.contributor.authorVieira, Lara Wernckept_BR
dc.contributor.authorMarques, Augusto Delavaldpt_BR
dc.contributor.authorSchneider, Paulo Smithpt_BR
dc.contributor.authorOliveira, Guilherme Lacerda Batista dept_BR
dc.date.accessioned2021-02-10T04:14:48Zpt_BR
dc.date.issued2020pt_BR
dc.identifier.issn2675-6269pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/217873pt_BR
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofIberian Latin-American Congress on Computational Methods in Engineering (41. : 2020 : On-line). Proceedings [recurso eletrônico]. São Paulo: ABMEC, 2020.pt_BR
dc.rightsOpen Accessen
dc.subjectPower plant operationen
dc.subjectUsinas termelétricaspt_BR
dc.subjectOperation patternsen
dc.subjectAnálise de dadospt_BR
dc.subjectOperation parametersen
dc.subjectK-means clusteringen
dc.subjectPrincipal component analysis (PCA)en
dc.titleData-driven identification of operating patterns in a thermal power plant by clustering methodspt_BR
dc.typeTrabalho completo publicado em eventopt_BR
dc.contributor.eventIbero-Latin-American Congress on Computational Methods in Engineering (41. : 2020.mario roland : On-line)pt_BR
dc.identifier.nrb001120575pt_BR
dc.type.originNacionalpt_BR


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