Detection of Non-Technical Losses on a Smart Distribution Grid Based on Artificial Intelligence Models-Reference-Cited by-同舟云学术

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

Published:2024-04-04 Issue:7 Volume:17 Page:1729
ISSN:1996-1073
Container-title:Energies
language:en
Short-container-title:Energies

Author:

Souza Murilo A.¹^ORCID,Gouveia Hugo T. V.²^ORCID,Ferreira Aida A.³^ORCID,de Lima Neta Regina Maria¹^ORCID,Nóbrega Neto Otoni¹^ORCID,da Silva Lira Milde Maria¹^ORCID,Torres Geraldo L.¹^ORCID,de Aquino Ronaldo R. B.¹^ORCID

Affiliation:

1. Department of Electrical Engineering, Federal University of Pernambuco, Recife 50740-550, Brazil

2. Independent Researcher, Recife 50740-550, Brazil

3. Department of Electrical Systems, Federal Institute of Pernambuco, Recife 50740-545, Brazil

Abstract

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 sufficient to develop a model that achieves a high detection rate for various types of energy fraud that may occur. In this paper, using actual electricity consumption data, additional statistical and temporal features based on these data are used to improve the detection rate of various types of NTL. Furthermore, a model that combines both the electricity consumption data and these features is developed, achieving a better detection rate for all types of fraud considered.

Funder

Coordenação de Aperfeicoamento de Pessoal de Nível Superior

Publisher

MDPI AG

Link

https://www.mdpi.com/1996-1073/17/7/1729/pdf

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