Sag source location and type recognition via attention-based independently recurrent neural network

Sag source location and type recognition via attention-based independently recurrent neural network

Accurate sag source location and precise sag type recognition are both essential to verifying the responsible party for the sag and taking countermeasures to improve power quality. In this paper, an attention-based independently recurrent neural network (IndRNN) for sag source location and sag type...

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Bibliographic Details
Main Authors: Deng, Yaping, Liu, Xinghua, Jia, Rong, Huang, Qi, Xiao, Gaoxi, Wang, Peng
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2021
Subjects:
Engineering::Electrical and electronic engineering
Independently Recurrent Neural Network
Sag Source Location
Online Access:https://hdl.handle.net/10356/153573

Internet

https://hdl.handle.net/10356/153573

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