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Detection of Non-Technical Losses on a Smart Distribution Grid Based on Artificial Intelligence Mode...

Detection of Non-Technical Losses on a Smart Distribution Grid Based on Artificial Intelligence Mode...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_90929b3272a241e59394f1871dade386

Detection of Non-Technical Losses on a Smart Distribution Grid Based on Artificial Intelligence Models

About this item

Full title

Detection of Non-Technical Losses on a Smart Distribution Grid Based on Artificial Intelligence Models

Publisher

Basel: MDPI AG

Journal title

Energies (Basel), 2024-04, Vol.17 (7), p.1729

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Non-technical losses (NTL) have been a growing problem over the years, causing significant financial losses for electric utilities. Among the methods for detecting this type of loss, those based on Artificial Intelligence (AI) have been the most popular. Many works use the electricity consumption profile as an input for AI models, which may not be...

Alternative Titles

Full title

Detection of Non-Technical Losses on a Smart Distribution Grid Based on Artificial Intelligence Models

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_90929b3272a241e59394f1871dade386

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_90929b3272a241e59394f1871dade386

Other Identifiers

ISSN

1996-1073

E-ISSN

1996-1073

DOI

10.3390/en17071729

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