Data-driven identification of operating patterns in a thermal power plant by clustering methods

dc.contributor.author	Duarte, Jéssica	pt_BR
dc.contributor.author	Vieira, Lara Werncke	pt_BR
dc.contributor.author	Marques, Augusto Delavald	pt_BR
dc.contributor.author	Schneider, Paulo Smith	pt_BR
dc.contributor.author	Oliveira, Guilherme Lacerda Batista de	pt_BR
dc.date.accessioned	2021-02-10T04:14:48Z	pt_BR
dc.date.issued	2020	pt_BR
dc.identifier.issn	2675-6269	pt_BR
dc.identifier.uri	http://hdl.handle.net/10183/217873	pt_BR
dc.format.mimetype	application/pdf	pt_BR
dc.language.iso	eng	pt_BR
dc.relation.ispartof	Iberian Latin-American Congress on Computational Methods in Engineering (41. : 2020 : On-line). Proceedings [recurso eletrônico]. São Paulo: ABMEC, 2020.	pt_BR
dc.rights	Open Access	en
dc.subject	Power plant operation	en
dc.subject	Usinas termelétricas	pt_BR
dc.subject	Operation patterns	en
dc.subject	Análise de dados	pt_BR
dc.subject	Operation parameters	en
dc.subject	K-means clustering	en
dc.subject	Principal component analysis (PCA)	en
dc.title	Data-driven identification of operating patterns in a thermal power plant by clustering methods	pt_BR
dc.type	Trabalho completo publicado em evento	pt_BR
dc.contributor.event	Ibero-Latin-American Congress on Computational Methods in Engineering (41. : 2020.mario roland : On-line)	pt_BR
dc.identifier.nrb	001120575	pt_BR
dc.type.origin	Nacional	pt_BR

Este item está licenciado na Creative Commons License