Power Quality Analysis Based on Machine Learning Methods for Low-Voltage Electrical Distribution Lines

Power Quality Analysis Based on Machine Learning Methods for Low-Voltage Electrical Distribution Lines

The main objective of this paper is to propose two innovative monitoring methods for electrical disturbances in low-voltage networks. The two approaches present a focus on the classification of voltage signals in the frequency domain using machine learning techniques. The first technique proposed he...

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Bibliographic Details
Main Authors: Carlos Alberto Iturrino Garcia, Marco Bindi, Fabio Corti, Antonio Luchetta, Francesco Grasso, Libero Paolucci, Maria Cristina Piccirilli, Igor Aizenberg
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Energies
Subjects:
convolutional neural networks
electrical disturbances
short-time Fourier transform
multilayer neural networks with multivalued neurons
power quality
Online Access:https://www.mdpi.com/1996-1073/16/9/3627

Internet

https://www.mdpi.com/1996-1073/16/9/3627

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