Power Quality Event Detection Using a Fast Extreme Learning Machine

Power Quality Event Detection Using a Fast Extreme Learning Machine

Monitoring Power Quality Events (PQE) is a crucial task for sustainable and resilient smart grid. This paper proposes a fast and accurate algorithm for monitoring PQEs from a pattern recognition perspective. The proposed method consists of two stages: feature extraction (FE) and decision-making. In...

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Bibliographic Details
Main Authors: Ferhat Ucar, Omer F. Alcin, Besir Dandil, Fikret Ata
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Energies
Subjects:
event detection
power quality
histogram
machine learning
wavelet transform
Online Access:http://www.mdpi.com/1996-1073/11/1/145

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