A novel algorithm for feature selection using Harmony Search and its application for non-technical losses detection-Reference-Cited by-同舟云学术

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

Published:2011-11 Issue:6 Volume:37 Page:886-894
ISSN:0045-7906
Container-title:Computers & Electrical Engineering
language:en
Short-container-title:Computers & Electrical Engineering

Author:

Ramos Caio C.O.,Souza André N.,Chiachia Giovani,Falcão Alexandre X.,Papa João P.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference23 articles.

1. Power utility nontechnical loss analysis with extreme learning machine method;Nizar;IEEE Trans Power Syst,2008

2. Nontechnical loss detection for metered consumers in power utility using support vector machines;Nagi;IEEE Trans Power Deliv,2010

3. Nagi J, Mohammad AM, Yap KS, Tiong SK, Ahmed SK. Non-technical loss analysis for detection of electricity theft using support vector machines. In: Proceedings of the 2nd IEEE international power and energy conference; 2008, p. 907–12.

4. Nagi J, Yap KS, Tiong SK, Ahmed SK, Mohammad AM. Detection of abnormalities and electricity theft using genetic support vector machines. In: IEEE TENCON Region 10 Conference; 2008, p. 1–6.

5. Nizar AH, Dong ZY, Zhao JH, Zhang P. A data mining based ntl analysis method. In: Proceedings of the IEEE power engineering society general meeting; 2007, p. 1–8.

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