An End-to-End Deep Learning Method for Voltage Sag Classification

An End-to-End Deep Learning Method for Voltage Sag Classification

Power quality disturbances (PQD) have a negative impact on power quality-sensitive equipment, often resulting in great financial losses. To prevent these losses, besides detecting a PQD on time, it is important to classify it, so that appropriate recovery procedures are employed. The majority of res...

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Bibliographic Details
Main Authors: Radovan Turović, Dinu Dragan, Gorana Gojić, Veljko B. Petrović, Dušan B. Gajić, Aleksandar M. Stanisavljević, Vladimir A. Katić
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Energies
Subjects:
power quality
classification
neural networks
voltage sag
dataset
Online Access:https://www.mdpi.com/1996-1073/15/8/2898

Internet

https://www.mdpi.com/1996-1073/15/8/2898

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