DocumentCode :
3262223
Title :
Identification and feature selection of non-technical losses for industrial consumers using the software WEKA
Author :
Ramos, C.C.O. ; de Souza, Andre N. ; Gastaldello, Danilo S. ; Papa, Joao Paulo
Author_Institution :
Dept. of Electr. Eng., Univ. of Sao Paulo - USP, Sao Paulo, Brazil
fYear :
2012
fDate :
5-7 Nov. 2012
Firstpage :
1
Lastpage :
6
Abstract :
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 consumers profiles of a power company. The solution to this problem is not trivial and not of regional character, the minimization of non-technical loss represents the guarantee of investments in product quality and maintenance of power systems, introduced by a competitive environment after the period of privatization in the national scene. This work presents using the WEKA software to the proposed objective, comparing various classification techniques and optimization through intelligent algorithms, this way, can be possible to automate applications on Smart Grids.
Keywords :
maintenance engineering; optimisation; power engineering computing; power systems; smart power grids; WEKA software; feature selection; industrial consumers; industrial consumers profiles; intelligent algorithms; intelligent computational tool; nontechnical losses; optimization; power company; power systems maintenance; product quality; smart grids; Artificial neural networks; Lead;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications (INDUSCON), 2012 10th IEEE/IAS International Conference on
Conference_Location :
Fortaleza
Print_ISBN :
978-1-4673-2412-0
Type :
conf
DOI :
10.1109/INDUSCON.2012.6451485
Filename :
6451485
Link To Document :
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