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: Yaping Deng, Xinghua Liu, Rong Jia, Qi Huang, Gaoxi Xiao, Peng Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9462581/