Graph Machine Learning Models Applied on the Identification of Critical Transmission Lines in Electrical Power Systems

Detalhes bibliográficos
Autor(a) principal: Alves, Rogerio Jose Menezes
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)
Texto Completo: http://repositorio.ufes.br/handle/10/16134
Resumo: When the operation of electric power systems is concerned, one may associate security with predicting a future event, and then be always ready to what may happen in the future. Obtaining a more secure system becomes a task deeply entangled with having rob
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spelling Paiva, Marcia Helena Moreirahttps://orcid.org/http://lattes.cnpq.br/8026444214173343Alves, Rogerio Jose Menezeshttps://orcid.org/http://lattes.cnpq.br/Samatelo, Jorge Leonid Achinghttps://orcid.org/http://lattes.cnpq.br/Lourenco, Elizete Mariahttps://orcid.org/http://lattes.cnpq.br/2024-05-30T00:53:49Z2024-05-30T00:53:49Z2022-04-04When the operation of electric power systems is concerned, one may associate security with predicting a future event, and then be always ready to what may happen in the future. Obtaining a more secure system becomes a task deeply entangled with having robNo que diz respeito à operação de sistemas elétricos de potência, pode-se associar segurança à previsão de um evento futuro e, assim, estar sempre pronto para possíveis contingências. A obtenção de um sistema mais seguro torna-se uma tarefa profundamenteTexthttp://repositorio.ufes.br/handle/10/16134porUniversidade Federal do Espírito SantoMestrado em Engenharia ElétricaPrograma de Pós-Graduação em Engenharia ElétricaUFESBRCentro Tecnológicosubject.br-rjbnEngenharia ElétricaPalavra-chaveGraph Machine Learning Models Applied on the Identification of Critical Transmission Lines in Electrical Power SystemsGraph Machine Learning Models Applied on the Identification of Critical Transmission Lines in Electrical Power Systemsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)instname:Universidade Federal do Espírito Santo (UFES)instacron:UFESORIGINAL[Rogerio José Menezes Alves] dissertação.pdfapplication/pdf9547244http://repositorio.ufes.br/bitstreams/ff812fa7-08af-416f-93b4-d7c606704258/download7d84af47cb41c76f6c5329cc8ad2bb23MD51ORIGINAL[Rogerio José Menezes Alves] dissertação.pdfapplication/pdf9547244http://repositorio.ufes.br/bitstreams/5e10dea6-753d-4655-a019-e8d19cb50ca6/download7d84af47cb41c76f6c5329cc8ad2bb23MD5210/161342024-07-18 06:00:15.343oai:repositorio.ufes.br:10/16134http://repositorio.ufes.brRepositório InstitucionalPUBhttp://repositorio.ufes.br/oai/requestopendoar:21082024-10-15T17:55:22.462744Repositório Institucional da Universidade Federal do Espírito Santo (riUfes) - Universidade Federal do Espírito Santo (UFES)false
dc.title.none.fl_str_mv Graph Machine Learning Models Applied on the Identification of Critical Transmission Lines in Electrical Power Systems
dc.title.alternative.none.fl_str_mv Graph Machine Learning Models Applied on the Identification of Critical Transmission Lines in Electrical Power Systems
title Graph Machine Learning Models Applied on the Identification of Critical Transmission Lines in Electrical Power Systems
spellingShingle Graph Machine Learning Models Applied on the Identification of Critical Transmission Lines in Electrical Power Systems
Alves, Rogerio Jose Menezes
Engenharia Elétrica
Palavra-chave
subject.br-rjbn
title_short Graph Machine Learning Models Applied on the Identification of Critical Transmission Lines in Electrical Power Systems
title_full Graph Machine Learning Models Applied on the Identification of Critical Transmission Lines in Electrical Power Systems
title_fullStr Graph Machine Learning Models Applied on the Identification of Critical Transmission Lines in Electrical Power Systems
title_full_unstemmed Graph Machine Learning Models Applied on the Identification of Critical Transmission Lines in Electrical Power Systems
title_sort Graph Machine Learning Models Applied on the Identification of Critical Transmission Lines in Electrical Power Systems
author Alves, Rogerio Jose Menezes
author_facet Alves, Rogerio Jose Menezes
author_role author
dc.contributor.authorID.none.fl_str_mv https://orcid.org/
dc.contributor.authorLattes.none.fl_str_mv http://lattes.cnpq.br/
dc.contributor.advisor1.fl_str_mv Paiva, Marcia Helena Moreira
dc.contributor.advisor1ID.fl_str_mv https://orcid.org/
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/8026444214173343
dc.contributor.author.fl_str_mv Alves, Rogerio Jose Menezes
dc.contributor.referee1.fl_str_mv Samatelo, Jorge Leonid Aching
dc.contributor.referee1ID.fl_str_mv https://orcid.org/
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/
dc.contributor.referee2.fl_str_mv Lourenco, Elizete Maria
dc.contributor.referee2ID.fl_str_mv https://orcid.org/
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/
contributor_str_mv Paiva, Marcia Helena Moreira
Samatelo, Jorge Leonid Aching
Lourenco, Elizete Maria
dc.subject.cnpq.fl_str_mv Engenharia Elétrica
topic Engenharia Elétrica
Palavra-chave
subject.br-rjbn
dc.subject.por.fl_str_mv Palavra-chave
dc.subject.br-rjbn.none.fl_str_mv subject.br-rjbn
description When the operation of electric power systems is concerned, one may associate security with predicting a future event, and then be always ready to what may happen in the future. Obtaining a more secure system becomes a task deeply entangled with having rob
publishDate 2022
dc.date.issued.fl_str_mv 2022-04-04
dc.date.accessioned.fl_str_mv 2024-05-30T00:53:49Z
dc.date.available.fl_str_mv 2024-05-30T00:53:49Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufes.br/handle/10/16134
url http://repositorio.ufes.br/handle/10/16134
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv Text
dc.publisher.none.fl_str_mv Universidade Federal do Espírito Santo
Mestrado em Engenharia Elétrica
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Engenharia Elétrica
dc.publisher.initials.fl_str_mv UFES
dc.publisher.country.fl_str_mv BR
dc.publisher.department.fl_str_mv Centro Tecnológico
publisher.none.fl_str_mv Universidade Federal do Espírito Santo
Mestrado em Engenharia Elétrica
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collection Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)
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