Electrical Engineering (Voltage Problem) Using LS-SVM and LVQ - Brossura

Abduesslam. M. Abedou, Khaled; Nizam. M. T, Muhammad; Inayati, .

 
9783330083127: Electrical Engineering (Voltage Problem) Using LS-SVM and LVQ
Brossura
ISBN 10: 3330083123 ISBN 13: 9783330083127
Casa editrice: LAP LAMBERT Academic Publishing, 2017

Sinossi

The Classification of Voltage Problem Using Support Vector Machine (SVM) of electrical power system using Least Squares Support Vector Machine (LS-SVM) algorithm and implemented on IEEE-39 bus New-England system. The data was collected from the time domain simulation by using input to the LS-SVM classification, and LS-SVM PTSI estimation on Least Squares Support Vector Machine, which is used as a predictor to determine the dynamic voltage collapse indices by increasing of the power in load buses. The Kernel function type and Kernel parameter are considered. In order to verify the effectiveness of the proposed LS-SVM classification and estimation method, its performance is compared with the Learning Vector Quantization (LVQ).

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Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2017
Lingua
Inglese
ISBN 10 
3330083123
ISBN 13 
9783330083127
Rilegatura
Copertina flessibile
Numero di pagine
56
Contatto del produttore
non disponibile
Persona responsabile
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