Solutions for detection of non-technical losses in the electricity grid: a review

Detalhes bibliográficos
Autor(a) principal: Joaquim, Viegas
Data de Publicação: 2017
Outros Autores: Paulo, Esteves, Rui, Melício, Victor, Mendes, Susana, Vieira
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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spelling 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
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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
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ruimelicio@gmail.com
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488
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