Noise Reduction Power Stealing Detection Model Based on Self-Balanced Data Set
Noise Reduction Power Stealing Detection Model Based on Self-Balanced Data Set
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Publisher
Basel: MDPI AG
Journal title
Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
In recent years, various types of power theft incidents have occurred frequently, and the training of the power-stealing detection model is susceptible to the influence of the imbalanced data set and the data noise, which leads to errors in power-stealing detection. Therefore, a power-stealing detection model is proposed, which is based on Improved...
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Full title
Noise Reduction Power Stealing Detection Model Based on Self-Balanced Data Set
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_ebc75e25dc6f47129ce3929f6250d621
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ebc75e25dc6f47129ce3929f6250d621
Other Identifiers
ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en13071763
