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Data Mining Applications to Power System Voltage Security Assessment

Name: Data Mining Applications to Power System Voltage Security Assessment
Brand: LAP LAMBERT Academic Publishing
SKU: 9786206146551
Price: 68.77 EUR
Availability: InStock

Autor: Narayan Prasad Patidar

Jazyk:

Väzba: Brožovaná

Vydavateľ: LAP LAMBERT Academic Publishing

Dostupnosť: Skladom u dodávateľa

Odosielame za 5-8 dní

68.77 €

Voltage security assessment is an integral part of the modern Energy Management System. The traditio...

Informácie o knihe

Autor

Narayan Prasad Patidar

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2023

Stránok

172

EAN

9786206146551

ISBN

6206146553

Enbook ID

43133490

Vydavateľ

LAP LAMBERT Academic Publishing

Hmotnosť

274

Rozmery

150 x 220 x 11

Kompletný popis

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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