ANÁLISE DE PERDAS NÃO TÉCNICAS NA REDE ELÉTRICA DE DISTRIBUIÇÃO DO ESTADO DE MINAS GERAIS

Non-technical losses of electrical energy are a problem that affect the entire electrical energy distribution system in the country, generating deficits for distributors and charges for consumers. In this context, Arcgis data geoprocessing software was used in the research for the spatial analysis of data referring to TOIs made available by ANEEL. In this way, it was possible to generate quantitative maps of non-technical losses in the state of Minas Gerais and its intermediate regions. From the spatial analysis it was possible to observe that the incidence of non-technical losses occurs in greater proportions in large urban centers such as Belo Horizonte and Uberlândia.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-03
DOI
https://doi.org/10.5281/zenodo.14791401
Primary Topic
Electricity Theft Detection Techniques
Type
article
Field-Weighted Citation Impact
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article

ANÁLISE DE PERDAS NÃO TÉCNICAS NA REDE ELÉTRICA DE DISTRIBUIÇÃO DO ESTADO DE MINAS GERAIS

Zenodo (CERN European Organization for Nuclear Research)
Electricity Theft Detection Techniques
article

ANÁLISE DE PERDAS NÃO TÉCNICAS NA REDE ELÉTRICA DE DISTRIBUIÇÃO DO ESTADO DE MINAS GERAIS

article en

Abstract

Non-technical losses of electrical energy are a problem that affect the entire electrical energy distribution system in the country, generating deficits for distributors and charges for consumers. In this context, Arcgis data geoprocessing software was used in the research for the spatial analysis of data referring to TOIs made available by ANEEL. In this way, it was possible to generate quantitative maps of non-technical losses in the state of Minas Gerais and its intermediate regions. From the spatial analysis it was possible to observe that the incidence of non-technical losses occurs in greater proportions in large urban centers such as Belo Horizonte and Uberlândia.

Zenodo (CERN European Organization for Nuclear Research)
Instituto Federal de Educação, Ciência e Tecnologia do Triângulo Mineiro (BR)
Sustainable cities and communities
Openalex Percentile: Top 56%
Electricity Theft Detection Techniques
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