Evolution of smart grid assessment methods: science mapping and performance analysis

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ABSTRACT The field of research related to smart grid (SG) assessment methods is broad and fragmented owing to the contribution of the various disciplines and approaches involved. This presents difficulties in obtaining useful and unbiased information for future studies. Hence, a full review of the c...

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Detalles Bibliográficos
Autores: Zarate Perez, Eliseo Juan, Motta, Ana, Grados, Juan Herber
Formato: artículo
Fecha de Publicación:2021
Institución:Universidad Privada del Norte
Repositorio:UPN-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.upn.edu.pe:11537/26745
Enlace del recurso:https://hdl.handle.net/11537/26745
Nivel de acceso:acceso abierto
Materia:Electricidad
Evaluación y medición
Energía eléctrica
Evaluación de impacto ambiental
https://purl.org/pe-repo/ocde/ford#2.11.00
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dc.title.es_PE.fl_str_mv Evolution of smart grid assessment methods: science mapping and performance analysis
title Evolution of smart grid assessment methods: science mapping and performance analysis
spellingShingle Evolution of smart grid assessment methods: science mapping and performance analysis
Zarate Perez, Eliseo Juan
Electricidad
Evaluación y medición
Energía eléctrica
Evaluación de impacto ambiental
https://purl.org/pe-repo/ocde/ford#2.11.00
title_short Evolution of smart grid assessment methods: science mapping and performance analysis
title_full Evolution of smart grid assessment methods: science mapping and performance analysis
title_fullStr Evolution of smart grid assessment methods: science mapping and performance analysis
title_full_unstemmed Evolution of smart grid assessment methods: science mapping and performance analysis
title_sort Evolution of smart grid assessment methods: science mapping and performance analysis
author Zarate Perez, Eliseo Juan
author_facet Zarate Perez, Eliseo Juan
Motta, Ana
Grados, Juan Herber
author_role author
author2 Motta, Ana
Grados, Juan Herber
author2_role author
author
dc.contributor.author.fl_str_mv Zarate Perez, Eliseo Juan
Motta, Ana
Grados, Juan Herber
dc.subject.es_PE.fl_str_mv Electricidad
Evaluación y medición
Energía eléctrica
Evaluación de impacto ambiental
topic Electricidad
Evaluación y medición
Energía eléctrica
Evaluación de impacto ambiental
https://purl.org/pe-repo/ocde/ford#2.11.00
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.11.00
description ABSTRACT The field of research related to smart grid (SG) assessment methods is broad and fragmented owing to the contribution of the various disciplines and approaches involved. This presents difficulties in obtaining useful and unbiased information for future studies. Hence, a full review of the contributions could provide a comprehensive critical perspective. In this article, SciMAT software is used to determine the evolution of this research field through a systematic review of the literature based on 331 original research articles. In addition, hidden issues and their development in this field have been identified for the period 2009–2020 to produce strategic diagrams of the thematic evolution and performance indicators of the research field. The results show that SG assessment methods are important topics, and the research field demonstrates an evolutionary trend that has not yet reached a maturity stage in each of the SG-related research topics. The most important topics, such as electric power transmission networks and environmental impact, are highlighted, with a particular interest in the transmission of electric power, application of photovoltaic systems, and life cycle analysis.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-06-08T02:07:57Z
dc.date.available.none.fl_str_mv 2021-06-08T02:07:57Z
dc.date.issued.fl_str_mv 2021-03-02
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.citation.es_PE.fl_str_mv Zarate, E. ...[et al]. (2021). Evolution of smart grid assessment methods: science mapping and performance analysis. International Journal of Engineering Research and Technology, 13(12), 5166-5175. https://www.researchgate.net/publication/349003112_Evolution_of_Smart_Grid_Assessment_Methods_Science_Mapping_and_Performance_Analysis
dc.identifier.issn.none.fl_str_mv 0974-3154
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/11537/26745
dc.identifier.journal.es_PE.fl_str_mv International Journal of Engineering Research and Technology
identifier_str_mv Zarate, E. ...[et al]. (2021). Evolution of smart grid assessment methods: science mapping and performance analysis. International Journal of Engineering Research and Technology, 13(12), 5166-5175. https://www.researchgate.net/publication/349003112_Evolution_of_Smart_Grid_Assessment_Methods_Science_Mapping_and_Performance_Analysis
0974-3154
International Journal of Engineering Research and Technology
url https://hdl.handle.net/11537/26745
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
rights_invalid_str_mv Atribución-NoComercial-CompartirIgual 3.0 Estados Unidos de América
https://creativecommons.org/licenses/by-nc-sa/3.0/us/
dc.format.es_PE.fl_str_mv application/pdf
dc.publisher.es_PE.fl_str_mv International Research Publication House
dc.publisher.country.es_PE.fl_str_mv IN
dc.source.es_PE.fl_str_mv Universidad Privada del Norte
Repositorio Institucional - UPN
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instname_str Universidad Privada del Norte
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spelling Zarate Perez, Eliseo JuanMotta, AnaGrados, Juan Herber2021-06-08T02:07:57Z2021-06-08T02:07:57Z2021-03-02Zarate, E. ...[et al]. (2021). Evolution of smart grid assessment methods: science mapping and performance analysis. International Journal of Engineering Research and Technology, 13(12), 5166-5175. https://www.researchgate.net/publication/349003112_Evolution_of_Smart_Grid_Assessment_Methods_Science_Mapping_and_Performance_Analysis0974-3154https://hdl.handle.net/11537/26745International Journal of Engineering Research and TechnologyABSTRACT The field of research related to smart grid (SG) assessment methods is broad and fragmented owing to the contribution of the various disciplines and approaches involved. This presents difficulties in obtaining useful and unbiased information for future studies. Hence, a full review of the contributions could provide a comprehensive critical perspective. In this article, SciMAT software is used to determine the evolution of this research field through a systematic review of the literature based on 331 original research articles. In addition, hidden issues and their development in this field have been identified for the period 2009–2020 to produce strategic diagrams of the thematic evolution and performance indicators of the research field. The results show that SG assessment methods are important topics, and the research field demonstrates an evolutionary trend that has not yet reached a maturity stage in each of the SG-related research topics. 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Evolution of smart grid assessment methods: science mapping and performance analysis
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