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

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
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
Series:Applied Sciences
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

Internet

https://www.mdpi.com/2076-3417/10/19/6755

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