DocumentCode :
1628808
Title :
Based on Rough Set and Support Vector Machine (SVM) in Jilin Province Power Distribution Network Transformation Project Evaluation
Author :
Liu Min ; Zhu Kai ; Cong Li ; Du Qiushi
Author_Institution :
Electr. Power Res. Inst., Jilin Electr. Power Co., Ltd., Changchun, China
fYear :
2013
Firstpage :
202
Lastpage :
206
Abstract :
In this paper, according to the current status of Jilin province power network construction and transformation projects, established the evaluation index system of power distribution network transformation project. Aiming at the characteristics of the large number of index, proposed a model of evaluating the power distribution network transformation based on rough set and support vector machine (SVM), And uses the evaluate data of the power distribution network in Jilin province for the empirical analysis, shows that the method has higher classification accuracy. The results of the research show that the model has good effectiveness and the method is practical and feasible.
Keywords :
distribution networks; power engineering computing; rough set theory; support vector machines; Jilin Province power distribution network transformation project evaluation; SVM; classification accuracy; empirical analysis; evaluation index system; rough set; support vector machine; Accuracy; Indexes; Industries; Power grids; Support vector machines; Training; power distribution network transformation; project evaluation; rough set; support vector machine (SVM);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing and Applications to Business, Engineering & Science (DCABES), 2013 12th International Symposium on
Conference_Location :
Kingston upon Thames, Surrey, UK
Type :
conf
DOI :
10.1109/DCABES.2013.43
Filename :
6636447
Link To Document :
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