Training control centers' operators in incident diagnosis and power restoration using intelligent tutoring systems

Detalhes bibliográficos
Autor(a) principal: Faria, Luiz
Data de Publicação: 2009
Outros Autores: Silva, A., Vale, Zita, Marques, A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/1477
Resumo: The activity of Control Center operators is important to guarantee the effective performance of Power Systems. Operators’ actions are crucial to deal with incidents, especially severe faults like blackouts. In this paper, we present an Intelligent Tutoring approach for training Portuguese Control Center operators in tasks like incident analysis and diagnosis, and service restoration of Power Systems. Intelligent Tutoring System (ITS) approach is used in the training of the operators, having into account context awareness and the unobtrusive integration in the working environment. Several Artificial Intelligence techniques were criteriously used and combined together to obtain an effective Intelligent Tutoring environment, namely Multiagent Systems, Neural Networks, Constraint-based Modeling, Intelligent Planning, Knowledge Representation, Expert Systems, User Modeling, and Intelligent User Interfaces.
id RCAP_ac9895c76afb1caef161bbe0161e6079
oai_identifier_str oai:recipp.ipp.pt:10400.22/1477
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Training control centers' operators in incident diagnosis and power restoration using intelligent tutoring systemsCooperative learningIntelligent tutoring systemsOn-the-job trainingOperators’ trainingPower systems control centersThe activity of Control Center operators is important to guarantee the effective performance of Power Systems. Operators’ actions are crucial to deal with incidents, especially severe faults like blackouts. In this paper, we present an Intelligent Tutoring approach for training Portuguese Control Center operators in tasks like incident analysis and diagnosis, and service restoration of Power Systems. Intelligent Tutoring System (ITS) approach is used in the training of the operators, having into account context awareness and the unobtrusive integration in the working environment. Several Artificial Intelligence techniques were criteriously used and combined together to obtain an effective Intelligent Tutoring environment, namely Multiagent Systems, Neural Networks, Constraint-based Modeling, Intelligent Planning, Knowledge Representation, Expert Systems, User Modeling, and Intelligent User Interfaces.IEEERepositório Científico do Instituto Politécnico do PortoFaria, LuizSilva, A.Vale, ZitaMarques, A.2013-04-30T14:49:06Z20092013-04-15T14:25:42Z2009-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/1477eng1939-138210.1109/TLT.2009.16metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T12:40:51Zoai:recipp.ipp.pt:10400.22/1477Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:22:38.943589Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Training control centers' operators in incident diagnosis and power restoration using intelligent tutoring systems
title Training control centers' operators in incident diagnosis and power restoration using intelligent tutoring systems
spellingShingle Training control centers' operators in incident diagnosis and power restoration using intelligent tutoring systems
Faria, Luiz
Cooperative learning
Intelligent tutoring systems
On-the-job training
Operators’ training
Power systems control centers
title_short Training control centers' operators in incident diagnosis and power restoration using intelligent tutoring systems
title_full Training control centers' operators in incident diagnosis and power restoration using intelligent tutoring systems
title_fullStr Training control centers' operators in incident diagnosis and power restoration using intelligent tutoring systems
title_full_unstemmed Training control centers' operators in incident diagnosis and power restoration using intelligent tutoring systems
title_sort Training control centers' operators in incident diagnosis and power restoration using intelligent tutoring systems
author Faria, Luiz
author_facet Faria, Luiz
Silva, A.
Vale, Zita
Marques, A.
author_role author
author2 Silva, A.
Vale, Zita
Marques, A.
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Faria, Luiz
Silva, A.
Vale, Zita
Marques, A.
dc.subject.por.fl_str_mv Cooperative learning
Intelligent tutoring systems
On-the-job training
Operators’ training
Power systems control centers
topic Cooperative learning
Intelligent tutoring systems
On-the-job training
Operators’ training
Power systems control centers
description The activity of Control Center operators is important to guarantee the effective performance of Power Systems. Operators’ actions are crucial to deal with incidents, especially severe faults like blackouts. In this paper, we present an Intelligent Tutoring approach for training Portuguese Control Center operators in tasks like incident analysis and diagnosis, and service restoration of Power Systems. Intelligent Tutoring System (ITS) approach is used in the training of the operators, having into account context awareness and the unobtrusive integration in the working environment. Several Artificial Intelligence techniques were criteriously used and combined together to obtain an effective Intelligent Tutoring environment, namely Multiagent Systems, Neural Networks, Constraint-based Modeling, Intelligent Planning, Knowledge Representation, Expert Systems, User Modeling, and Intelligent User Interfaces.
publishDate 2009
dc.date.none.fl_str_mv 2009
2009-01-01T00:00:00Z
2013-04-30T14:49:06Z
2013-04-15T14:25:42Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/1477
url http://hdl.handle.net/10400.22/1477
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1939-1382
10.1109/TLT.2009.16
dc.rights.driver.fl_str_mv metadata only access
info:eu-repo/semantics/openAccess
rights_invalid_str_mv metadata only access
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799131321862193152

Registros relacionados