Methodology for the Detection and Classification of Power Quality Disturbances Using CWT and CNN

Methodology for the Detection and Classification of Power Quality Disturbances Using CWT and CNN

Energy generation through renewable processes has represented a suitable option for power supply; nevertheless, wind generators and photovoltaic systems can suddenly operate under undesired conditions, leading to power quality problems. In this regard, the development of condition-monitoring strateg...

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Bibliographic Details
Main Authors:	Eduardo Perez-Anaya, Arturo Yosimar Jaen-Cuellar, David Alejandro Elvira-Ortiz, Rene de Jesus Romero-Troncoso, Juan Jose Saucedo-Dorantes
Format:	Article
Language:	English
Published:	MDPI AG 2024-02-01
Series:	Energies
Subjects:	power quality disturbance condition monitoring continuous wavelet transform convolutional neural network
Online Access:	https://www.mdpi.com/1996-1073/17/4/852

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