Self-Supervised Voltage Sag Source Identification Method Based on CNN

Self-Supervised Voltage Sag Source Identification Method Based on CNN

A self-supervised voltage sag source identification method based on a convolution neural network is proposed in this study. In addition, a self-supervised CNN (Convolutional Neural Networks) voltage sag source identification model is constructed on the basis of the convolution neural network and Aut...

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Bibliographic Details
Main Authors: Danqi Li, Fei Mei, Chenyu Zhang, Haoyuan Sha, Jianyong Zheng
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Energies
Subjects:
voltage sag
convolutional neural network
AutoEncoder
grayscale
sag source identification
Online Access:http://www.mdpi.com/1996-1073/12/6/1059

Internet

http://www.mdpi.com/1996-1073/12/6/1059

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