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 Models
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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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...
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Detection of Non-Technical Losses on a Smart Distribution Grid Based on Artificial Intelligence Models
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TN_cdi_doaj_primary_oai_doaj_org_article_90929b3272a241e59394f1871dade386
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_90929b3272a241e59394f1871dade386
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ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en17071729