Recognition method of voltage sag causes based on Bi‐LSTM
Author:
Affiliation:
1. The School of Control and Computer EngineeringNorth China Electric Power University Beijing 102206 China
Funder
State Grid Corporation of China
Publisher
Wiley
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/tee.23070
Reference28 articles.
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3. MokhlisH KhalidAR LiHY. Voltage sags pattern recognition technique for fault section identification in distribution networks.2009 IEEE Bucharest PowerTech Bucharest 2009;1–6.
4. A critical review of detection and classification of power quality events
5. Classification of power quality events – A review
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