A Comparison of Power Quality Disturbance Detection and Classification Methods Using CNN, LSTM and CNN-LSTM

The use of electronic loads has improved many aspects of everyday life, permitting more efficient, precise and automated process. As a drawback, the nonlinear behavior of these systems entails the injection of electrical disturbances on the power grid that can cause distortion of voltage and current...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Carlos Iturrino Garcia, Francesco Grasso, Antonio Luchetta, Maria Cristina Piccirilli, Libero Paolucci, Giacomo Talluri
Format:	Article
Language:	English
Published:	MDPI AG 2020-09-01
Subjects:	power quality disturbances long short term memory convolutional neural network short time Fourier transform
Online Access:	https://www.mdpi.com/2076-3417/10/19/6755