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Identification and feature selection of non-technical losses for industrial consumers using the software WEKA
(2012-12-01)
This work has as objectives the implementation of a intelligent computational tool to identify the non-technical losses and to select its most relevant features, considering information from the database with industrial ...
Unsupervised non-technical losses identification through optimum-path forest
(Elsevier B.V., 2016-11-01)
Non-technical losses (NTL) identification has been paramount in the last years. However, it is not straightforward to obtain labelled datasets to perform a supervised NTL recognition task. In this paper, the optimum-path ...
Identification and feature selection of non-technical losses for industrial consumers using the software WEKA
(2012-12-01)
This work has as objectives the implementation of a intelligent computational tool to identify the non-technical losses and to select its most relevant features, considering information from the database with industrial ...
Perdas não técnicas na distribuição de eletricidade: estratégias de controle e apoio à tomada de decisão
(Universidade Federal de Santa MariaBrasilEngenharia de ProduçãoUFSMPrograma de Pós-Graduação em Engenharia de ProduçãoCentro de Tecnologia, 2022-11-24)
Electricity distribution in Brazil is essential to guarantee the competitiveness of the industrial,
commercial and rural sectors and provide social well-being. However, not all the electricity
injected into the distribution ...
Electrical consumers data clustering through optimum-path forest
(2011-12-21)
Non-technical losses identification has been paramount in the last decade. Since we have datasets with hundreds of legal and illegal profiles, one may have a method to group data into subprofiles in order to minimize the ...
Electrical consumers data clustering through optimum-path forest
(2011-12-21)
Non-technical losses identification has been paramount in the last decade. Since we have datasets with hundreds of legal and illegal profiles, one may have a method to group data into subprofiles in order to minimize the ...
What is the importance of selecting features for non-technical losses identification?
(2011-08-02)
Although non-technical losses automatic identification has been massively studied, the problem of selecting the most representative features in order to boost the identification accuracy has not attracted much attention ...
What is the importance of selecting features for non-technical losses identification?
(2011-08-02)
Although non-technical losses automatic identification has been massively studied, the problem of selecting the most representative features in order to boost the identification accuracy has not attracted much attention ...
A Probabilistic Optimum-Path Forest Classifier for Non-Technical Losses Detection
(Ieee-inst Electrical Electronics Engineers Inc, 2019-05-01)
Probabilistic-driven classification techniques extend the role of traditional approaches that output labels (usually integer numbers) only. Such techniques are more fruitful when dealing with problems where one is not ...