Safeguarding Power Grids against Electricity Theft by Data-Driven Analysis

Authors

  • Mrs. M. Pragathi, L. Sravani, P. Kaarthika Reddy , B.Niharika

Keywords:

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Abstract

In order to keep smart grids cost-effective, energy theft detection (ETD) plays a crucial role. Problems with missing values, large variation, and non-linearity mean that current ETD approaches are inadequate for dealing with the massive amounts of data that are currently accessible. Synchronising various steps in power theft categorization also requires an integrated infrastructure. In order to tackle these issues, a new ETD framework is suggested that integrates three separate components. The first section deals with data that isn't standardised, such as power usage, outliers, or missing

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References

S. S. S. R. Depuru, L. Wang, and V.Devabhaktuni, “Electricitytheft: overview, issues, prevention and a smart meter basedapproach to control theft,” Energy Policy, vol. 39, no. 2,pp. 1007–1015, 2011.

J. P. Navani, N. K. Sharma, and S. Sapra, “Technical and nontechnicallosses in power system and its economic consequencein

Indian economy,” International Journal of Electronicsand Computer Science Engineering, vol. 1, no. 2,pp. 757–761, 2012.

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Published

2023-12-24

How to Cite

Mrs. M. Pragathi, L. Sravani, P. Kaarthika Reddy , B.Niharika. (2023). Safeguarding Power Grids against Electricity Theft by Data-Driven Analysis . Pegem Journal of Education and Instruction, 14(4), 447–453. Retrieved from https://pegegog.net/index.php/pegegog/article/view/4006

Issue

Vol. 14 No. 4 (2024): CURRENT ISSUE

Section

Article

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