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

Name: Electrical Engineering (Voltage Problem) Using LS-SVM and LVQ
Brand: LAP Lambert Academic Publishing
SKU: 16395265
Price: 12784 HUF
Availability: InStock
Author: Khaled Abduesslam. M. Abedou
ISBN: 9783330083127

Khaled Abduesslam. M. Abedou

Muhammad Nizam. M. T

. . Inayati

Language

English

Book Paperback

Libristo code: 16395265

Publishers LAP Lambert Academic Publishing, May 2017

The Classification of Voltage Problem Using Support Vector Machine (SVM) of electrical power system... Full description

Libristo code: 16395265

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12 784 Ft

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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).