mlsanityData to 14 Oct 2026

Electricity Theft Detection using Machine Learning

arXiv 1708.05907 ↗First posted 19 Aug 2017cs.CR cs.CY cs.LGcited by 1

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Abstract (arXiv)

Non-technical losses (NTL) in electric power grids arise through electricity theft, broken electric meters or billing errors. They can harm the power supplier as well as the whole economy of a country through losses of up to 40% of the total power distribution. For NTL detection, researchers use artificial intelligence to analyse data. This work is about improving the extraction of more meaningful features from a data set. With these features, the prediction quality will increase.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 19 Aug 2017.

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