publication . Article . 2021

Pattern Recognition using Support Vector Machines as a Solution for Non-Technical Losses in Electricity Distribution Industry

Azubuike N. Aniedu; Hyacinth C. Inyiama; Augustine C. O. Azubogu; Sandra C. Nwokoye;
  • Published: 30 Mar 2021 Journal: Regular Issue, volume 7, pages 1-8 (eissn: 2319-6386, Copyright policy)
  • Publisher: Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Contending with Non-Technical Losses (NTL) is a major problem for electricity utility companies. Hence providing a lasting solution to this menace motivates this and many more research work in the electricity sector in recent times. Non-technical losses are classed under losses incurred by the electricity utility companies in terms of energy used but not billed due to activities of users or malfunction of metering equipment. This paper therefore is aimed at proffering a solution to this problem by first detecting such loopholes via the analysis of consumers’ consumption pattern leveraging Machine learning (ML) techniques. Support vector machine classifier was ch...
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