portada Data Mining Applications to Power System Voltage Security Assessment (en Inglés)

Data Mining Applications to Power System Voltage Security Assessment (en Inglés)

Formato

Libro Físico

Autor

Sonali Paunikar

Narayan Prasad Patidar

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

172

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x1 cm

Peso

0.26 kg.

ISBN13

9786206146551

Categorías

Electricidad, electromagnetismo y magnetismo

Data Mining Applications to Power System Voltage Security Assessment (en Inglés)

Sonali Paunikar (Autor) · Narayan Prasad Patidar (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Data Mining Applications to Power System Voltage Security Assessment (en Inglés)"

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.