A novel unsupervised feature‐based approach for electricity theft detection using robust PCA and outlier removal clustering algorithm
This paper presents a novel data-oriented unsupervised machine learning-based theft detection approach for efficiently identifying the fraudster consumers. It accomplishes the above-mentioned objective by exploiting the intelligence of the robust principal component analysis (ROBPCA) algorithm in co...
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Main Authors: | , , , , |
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Format: | Article |
Published: |
John Wiley and Sons Ltd
2020
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/90489/ http://dx.doi.org/10.1002/2050-7038.12572 |
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Institution: | Universiti Teknologi Malaysia |