Identification of electricity theft perpetrators in the low-voltage distribution network
Correlation analysis proves its effectiveness in pinpointing the culprits behind electricity theft, as demonstrated by the comprehensive data obtained from measurement snapshots taken in an actual distribution network over the course of a month. The analysis relied on various methods of theft simula...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/98/e3sconf_rses23_01029.pdf |
| _version_ | 1797345076846788608 |
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| author | Golub Irina Boloev Evgeny Anfinogenov Alexander Buchinsky Anatoly Maslennikov Andrey |
| author_facet | Golub Irina Boloev Evgeny Anfinogenov Alexander Buchinsky Anatoly Maslennikov Andrey |
| author_sort | Golub Irina |
| collection | DOAJ |
| description | Correlation analysis proves its effectiveness in pinpointing the culprits behind electricity theft, as demonstrated by the comprehensive data obtained from measurement snapshots taken in an actual distribution network over the course of a month. The analysis relied on various methods of theft simulation that correspond to attacks on meters, communication lines, and measurement data. |
| first_indexed | 2024-03-08T11:13:14Z |
| format | Article |
| id | doaj.art-3eb48ded30514072b891af714f597fd7 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-08T11:13:14Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-3eb48ded30514072b891af714f597fd72024-01-26T10:39:43ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014610102910.1051/e3sconf/202346101029e3sconf_rses23_01029Identification of electricity theft perpetrators in the low-voltage distribution networkGolub Irina0Boloev Evgeny1Anfinogenov Alexander2Buchinsky Anatoly3Maslennikov Andrey4Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of SciencesMelentiev Energy Systems Institute of Siberian Branch of the Russian Academy of SciencesRegional State Unitary Enterprise «Oblkommunenergo»Regional State Unitary Enterprise «Oblkommunenergo»Regional State Unitary Enterprise «Oblkommunenergo»Correlation analysis proves its effectiveness in pinpointing the culprits behind electricity theft, as demonstrated by the comprehensive data obtained from measurement snapshots taken in an actual distribution network over the course of a month. The analysis relied on various methods of theft simulation that correspond to attacks on meters, communication lines, and measurement data.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/98/e3sconf_rses23_01029.pdf |
| spellingShingle | Golub Irina Boloev Evgeny Anfinogenov Alexander Buchinsky Anatoly Maslennikov Andrey Identification of electricity theft perpetrators in the low-voltage distribution network E3S Web of Conferences |
| title | Identification of electricity theft perpetrators in the low-voltage distribution network |
| title_full | Identification of electricity theft perpetrators in the low-voltage distribution network |
| title_fullStr | Identification of electricity theft perpetrators in the low-voltage distribution network |
| title_full_unstemmed | Identification of electricity theft perpetrators in the low-voltage distribution network |
| title_short | Identification of electricity theft perpetrators in the low-voltage distribution network |
| title_sort | identification of electricity theft perpetrators in the low voltage distribution network |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/98/e3sconf_rses23_01029.pdf |
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