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

Language: English

Published by LAP LAMBERT Academic Publishing, 2023

6206146553 / 9786206146551

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9786206146551

Title
Data Mining Applications to Power System Voltage Security Assessment : Real Time Fast Voltage Security Assessment Using Fuzzy Decision Trees
Author
Sonali Paunikar
Publisher
LAP LAMBERT Academic Publishing
Publication year
2023
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6206146553
ISBN 13
9786206146551
Item weight
274 grams
Dimensions
220x150x11 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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