Ensemble-Learning-Based Decision Support System for Energy-Theft Detection in Smart-Grid Environment
Ensemble-Learning-Based Decision Support System for Energy-Theft Detection in Smart-Grid Environment
About this item
Full title
Author / Creator
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
Theft of electricity poses a significant risk to the public and is the most costly non-technical loss for an electrical supplier. In addition to affecting the quality of the energy supply and the strain on the power grid, fraudulent electricity use drives up prices for honest customers and creates a ripple effect on the economy. Using data-analysis...
Alternative Titles
Full title
Ensemble-Learning-Based Decision Support System for Energy-Theft Detection in Smart-Grid Environment
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_7ed00283b8c24d238e5bc07151531995
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7ed00283b8c24d238e5bc07151531995
Other Identifiers
ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en16041907
