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

• Main Authors: Deng, Yaping, Liu, Xinghua, Jia, Rong, Huang, Qi, Xiao, Gaoxi, Wang, Peng
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2021
• 主題: Engineering::Electrical and electronic engineering; Independently Recurrent Neural Network; Sag Source Location
• 在線閱讀: https://hdl.handle.net/10356/153573
• 機構: Nanyang Technological University

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...