A Framework Based on Machine Learning for Analytics of Voltage Quality Disturbances

A Framework Based on Machine Learning for Analytics of Voltage Quality Disturbances

This paper proposes a machine-learning-based framework for voltage quality analytics, where the space phasor model (SPM) of the three-phase voltages before, during, and after the event is applied as input data. The framework proceeds along with three main steps: (a) event extraction, (b) event chara...

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Bibliographic Details
Main Authors: Azam Bagheri, Roger Alves de Oliveira, Math H. J. Bollen, Irene Y. H. Gu
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Energies
Subjects:
anomaly detection
machine learning
power quality
principal component analysis
space phasor model
Online Access:https://www.mdpi.com/1996-1073/15/4/1283

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https://www.mdpi.com/1996-1073/15/4/1283

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