Data Mining Applications to Power System Voltage Security Assessment: Real Time Fast Voltage Security Assessment Using Fuzzy Decision Trees - Couverture souple

Paunikar, Sonali; Patidar, Narayan Prasad

 
9786206146551: Data Mining Applications to Power System Voltage Security Assessment: Real Time Fast Voltage Security Assessment Using Fuzzy Decision Trees
Couverture souple
ISBN 10 : 6206146553 ISBN 13 : 9786206146551
Editeur : LAP LAMBERT Academic Publishing, 2023

Synopsis

Voltage security assessment is an integral part of the modern Energy Management System. The traditional methods of contingency selection based on approximate or full AC load flow are either inaccurate or time consuming. To overcome these difficulties, development of fast, accurate and transparent voltage security assessment tools is required, so that in real-time, potentially dangerous operating conditions can be identified quickly and necessary corrective actions can be initiated within the given time frame of interest. Machine learning is a broad area of artificial intelligence, which is concerned with design and development of algorithms and techniques that allow computers to learn. Data mining is one of the branches of machine learning which uses past data for prediction of future results. In this book, data mining tools like fuzzy decision trees and case-based reasoning (CBR) is discussed in detail for application to voltage security assessment in power systems.

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2023
Langue
anglais
ISBN 10 
6206146553
ISBN 13 
9786206146551
Reliure
Broché
Nombre de pages
172
Coordonnées du fabricant
non disponible
Personne responsable
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