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

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

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

Sinopsis

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).

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

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).

Biografía del autor

- Khaled Abduesslam M. Graduated master degree from Sebelas Maret University (UNS), Central Java, Indonesia. (2014).- Prof. Muhammad Nizam. M. T. PhD, Head of control unit UNS Ex.- Inayati, ST., MT., PhD. Engineering IN UNS, Surakarta.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2017
Idioma
Inglés
ISBN 10 
3330083123
ISBN 13 
9783330083127
Encuadernación
Tapa blanda
Número de páginas
56
Contacto del fabricante
no disponible
Persona responsable
no disponible