Solutions for detection of non-technical losses in the electricity grid: a review
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/21871 https://doi.org/10.1016/j.rser.2017.05.193 |
Resumo: | This paper is a review of literature with an analysis on a selection of scienti c studies for detection of non-technical losses. Non-technical losses occurring in the electric grid at level of transmission or of distribution have negative impact on economies, affecting utilities, paying consumers and states. The paper is concerned with the lines of research pursued, the main techniques used and the limitations on current solutions. Also, a typology for the categorization of solutions for detection of non-technical losses is proposed and the sources and possible attack/vulnerability points are identifi ed. The selected literature covers a wide range of solutions associated with non-technical losses. Of the 103 selected studies, 6 are theoretical, 25 propose hardware solutions and 72 propose non-hardware solutions. Data based classi cation models and data from consumption with high resolution are respectively required in about 47% and 35% of the reported solutions. Available solutions cover a wide range of cases, with the main limitation found being the lack of an uni ed solution, which enables the detection of all kinds of non-technical losses. |
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Solutions for detection of non-technical losses in the electricity grid: a reviewNon-technical lossesCommercial lossesElectricity theftElectricity fraudDetectionModellingEstimationLiterature reviewThis paper is a review of literature with an analysis on a selection of scienti c studies for detection of non-technical losses. Non-technical losses occurring in the electric grid at level of transmission or of distribution have negative impact on economies, affecting utilities, paying consumers and states. The paper is concerned with the lines of research pursued, the main techniques used and the limitations on current solutions. Also, a typology for the categorization of solutions for detection of non-technical losses is proposed and the sources and possible attack/vulnerability points are identifi ed. The selected literature covers a wide range of solutions associated with non-technical losses. Of the 103 selected studies, 6 are theoretical, 25 propose hardware solutions and 72 propose non-hardware solutions. Data based classi cation models and data from consumption with high resolution are respectively required in about 47% and 35% of the reported solutions. Available solutions cover a wide range of cases, with the main limitation found being the lack of an uni ed solution, which enables the detection of all kinds of non-technical losses.2018-01-22T16:37:43Z2018-01-222017-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/21871http://hdl.handle.net/10174/21871https://doi.org/10.1016/j.rser.2017.05.193enghttp://www.sciencedirect.com/science/article/pii/S1364032117308328ndndruimelicio@gmail.comndnd488Joaquim, ViegasPaulo, EstevesRui, MelícioVictor, MendesSusana, Vieirainfo: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:RCAAP2024-01-03T19:12:21Zoai:dspace.uevora.pt:10174/21871Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:12:51.007262Repositório 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 |
Solutions for detection of non-technical losses in the electricity grid: a review |
title |
Solutions for detection of non-technical losses in the electricity grid: a review |
spellingShingle |
Solutions for detection of non-technical losses in the electricity grid: a review Joaquim, Viegas Non-technical losses Commercial losses Electricity theft Electricity fraud Detection Modelling Estimation Literature review |
title_short |
Solutions for detection of non-technical losses in the electricity grid: a review |
title_full |
Solutions for detection of non-technical losses in the electricity grid: a review |
title_fullStr |
Solutions for detection of non-technical losses in the electricity grid: a review |
title_full_unstemmed |
Solutions for detection of non-technical losses in the electricity grid: a review |
title_sort |
Solutions for detection of non-technical losses in the electricity grid: a review |
author |
Joaquim, Viegas |
author_facet |
Joaquim, Viegas Paulo, Esteves Rui, Melício Victor, Mendes Susana, Vieira |
author_role |
author |
author2 |
Paulo, Esteves Rui, Melício Victor, Mendes Susana, Vieira |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Joaquim, Viegas Paulo, Esteves Rui, Melício Victor, Mendes Susana, Vieira |
dc.subject.por.fl_str_mv |
Non-technical losses Commercial losses Electricity theft Electricity fraud Detection Modelling Estimation Literature review |
topic |
Non-technical losses Commercial losses Electricity theft Electricity fraud Detection Modelling Estimation Literature review |
description |
This paper is a review of literature with an analysis on a selection of scienti c studies for detection of non-technical losses. Non-technical losses occurring in the electric grid at level of transmission or of distribution have negative impact on economies, affecting utilities, paying consumers and states. The paper is concerned with the lines of research pursued, the main techniques used and the limitations on current solutions. Also, a typology for the categorization of solutions for detection of non-technical losses is proposed and the sources and possible attack/vulnerability points are identifi ed. The selected literature covers a wide range of solutions associated with non-technical losses. Of the 103 selected studies, 6 are theoretical, 25 propose hardware solutions and 72 propose non-hardware solutions. Data based classi cation models and data from consumption with high resolution are respectively required in about 47% and 35% of the reported solutions. Available solutions cover a wide range of cases, with the main limitation found being the lack of an uni ed solution, which enables the detection of all kinds of non-technical losses. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-12-01T00:00:00Z 2018-01-22T16:37:43Z 2018-01-22 |
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/10174/21871 http://hdl.handle.net/10174/21871 https://doi.org/10.1016/j.rser.2017.05.193 |
url |
http://hdl.handle.net/10174/21871 https://doi.org/10.1016/j.rser.2017.05.193 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.sciencedirect.com/science/article/pii/S1364032117308328 nd nd ruimelicio@gmail.com nd nd 488 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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 |
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1799136610148679680 |