A novel algorithm for feature selection using Harmony Search and its application for non-technical losses detection

被引：85

作者：

Ramos, Caio C. O. ^{[1
]}

Souza, Andre N. ^{[2
]}

Chiachia, Giovani ^{[3
]}

Falcao, Alexandre X. ^{[3
]}

Papa, Joao P. ^{[4
,5
]}

机构：

[1] Univ Sao Paulo, Dept Elect Engn, Polytech Sch, Sao Paulo, Brazil

[2] UNESP Univ Estadual Paulista, Dept Elect Engn, Bauru, Brazil

[3] Univ Estadual Campinas, Inst Comp, Campinas, SP, Brazil

[4] UNESP Univ Estadual Paulista, Dept Comp, Bauru, Brazil

[5] UNESP Univ Estadual Paulista, Dept Comp Sci, Bauru, Brazil

来源：

COMPUTERS & ELECTRICAL ENGINEERING | 2011年 / 37卷 / 06期

基金：

巴西圣保罗研究基金会;

关键词：

D O I：

10.1016/j.compeleceng.2011.09.013

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Finding an optimal subset of features that maximizes classification accuracy is still an open problem. In this paper, we exploit the speed of the Harmony Search algorithm and the Optimum-Path Forest classifier in order to propose a new fast and accurate approach for feature selection. Comparisons to some other pattern recognition and feature selection techniques showed that the proposed hybrid algorithm for feature selection outperformed them. The experiments were carried out in the context of identifying non-technical losses in power distribution systems. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：886 / 894

页数：9

共 50 条

[1] Identification and Feature Selection of Non-Technical Losses for Industrial Consumers Using the Software WEKA
Oba Ramos, Caio Cesar
de Souza, Andre Nunes
Gastaldello, Danilo Sinkiti
Papa, Joao Paulo
[J]. 2012 10TH IEEE/IAS INTERNATIONAL CONFERENCE ON INDUSTRY APPLICATIONS (INDUSCON), 2012,
[2] Non-technical losses detection using missing values’ pattern and neural architecture search
Fei, Ke
Li, Qi
Zhu, Congcong
[J]. International Journal of Electrical Power and Energy Systems, 2022, 134
[3] Non-technical losses detection using missing values' pattern and neural architecture search
Fei, Ke
Li, Qi
Zhu, Congcong
[J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 134
[4] Multilayer Perceptron Neural Networks Training Through Charged System Search and its Application for Non-Technical Losses Detection
Pereira, Luis A. M.
Afonso, Luis C. S.
Papa, Joao P.
Vale, Zita A.
Ramos, Caio C. O.
Gastaldello, Danillo S.
Souza, Andre N.
[J]. 2013 IEEE PES CONFERENCE ON INNOVATIVE SMART GRID TECHNOLOGIES (ISGT LATIN AMERICA), 2013,
[5] Improving Intrusion Detection Using a Novel Normalization Method along with the Use of Harmony Search Algorithm for Feature Selection
Gotorlar, Hamid Ghaffari
Bagerzadeh, Jamshid
Aghababa, Mohammad Pourmahmood
Osalu, Masoumeh Samadi
[J]. 2015 7TH CONFERENCE ON INFORMATION AND KNOWLEDGE TECHNOLOGY (IKT), 2015,
[6] A harmony search algorithm for clustering with feature selection
Cobos, Carlos
Leon, Elizabeth
Mendoza, Martha
[J]. REVISTA FACULTAD DE INGENIERIA-UNIVERSIDAD DE ANTIOQUIA, 2010, (55): : 153 - 164
[7] An Algorithm for Detaching Technical Losses from Non-Technical Losses in Distribution Systems
Shah, Abdullah
Mesbah, Wessam
Al-Awami, Ali T.
[J]. 2021 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2021,
[8] Hybrid feature selection algorithm using symmetrical uncertainty and a harmony search algorithm
Shreem, Salam Salameh
Abdullah, Salwani
Nazri, Mohd Zakree Ahmad
[J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2016, 47 (06) : 1312 - 1329
[9] Black Hole Algorithm for Non-technical Losses Characterization
Rodrigues, Douglas
Oba Ramos, Caio Cesar
de Souza, Andre Nunes
Papa, Joao Paulo
[J]. 2015 IEEE 6TH LATIN AMERICAN SYMPOSIUM ON CIRCUITS & SYSTEMS (LASCAS), 2015,
[10] Non-Technical Losses Detection in Distribution Grids using LSTM Networks
Kasymaliev, Soodanbek
Erofeeva, Victoria
Pozo, David
[J]. 2021 IEEE PES INNOVATIVE SMART GRID TECHNOLOGY EUROPE (ISGT EUROPE 2021), 2021, : 1027 - 1032

← 1 2 3 4 5 →