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Effective electricity theft detection in power distribution grids using an adaptive neuro fuzzy inference system

Blazakis Konstantinos, Kapetanakis Theodoros N., Stavrakakis Georgios

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URIhttp://purl.tuc.gr/dl/dias/C741C6B5-DBB6-43B8-9A82-F7077D8FD63C-
Identifierhttps://doi.org/10.3390/en13123110-
Identifierhttps://www.mdpi.com/1996-1073/13/12/3110/htm-
Languageen-
Extent13 pagesel
Extent4,14 megabytesen
TitleEffective electricity theft detection in power distribution grids using an adaptive neuro fuzzy inference systemen
CreatorBlazakis Konstantinosen
CreatorΜπλαζακης Κωνσταντινοςel
CreatorKapetanakis Theodoros N.en
CreatorStavrakakis Georgiosen
CreatorΣταυρακακης Γεωργιοςel
PublisherMDPIen
Content SummaryElectric power grids are a crucial infrastructure for the proper operation of any country and must be preserved from various threats. Detection of illegal electricity power consumption is a crucial issue for distribution system operators (DSOs). Minimizing non-technical losses is a challenging task for the smooth operation of electrical power system in order to increase electricity provider’s and nation’s revenue and to enhance the reliability of electrical power grid. The widespread popularity of smart meters enables a large volume of electricity consumption data to be collected and new artificial intelligence technologies could be applied to take advantage of these data to solve the problem of power theft more efficiently. In this study, a robust artificial intelligence algorithm adaptive neuro fuzzy inference system (ANFIS)—with many applications in many various areas—is presented in brief and applied to achieve more effective detection of electric power theft. To the best of our knowledge, there are no studies yet that involve the application of ANFIS for the detection of power theft. The proposed technique is shown that if applied properly it could achieve very high success rates in various cases of fraudulent activities originating from unauthorized energy usage. en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2022-03-02-
Date of Publication2020-
SubjectData miningen
SubjectAdaptive neuro fuzzy inference system (ANFIS)en
SubjectNon-technical losses (NTLs)en
SubjectPower theft detectionen
SubjectSmart griden
SubjectSmart electricity meteringen
SubjectPower distribution gridsen
Bibliographic CitationK. V. Blazakis, T. N. Kapetanakis, and G. S. Stavrakakis, “Effective electricity theft detection in power distribution grids using an adaptive neuro fuzzy inference system,” Energies, vol. 13, no. 12, June 2020, doi: 10.3390/en13123110en

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