Research on power quality disturbance analysis and identification based on LSTM

Research on power quality disturbance analysis and identification based on LSTM

In view of the cumbersome and inaccurate process caused by manual feature extraction in power quality disturbance classification, according to the characteristics of power quality classification and time sequence. This article presents a method of power quality disturbance analysis and identificatio...

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Bibliographic Details
Main Authors:	Qian Wang, Xue Liang, Sichen Qin
Format:	Article
Language:	English
Published:	Elsevier 2022-11-01
Series:	Energy Reports
Subjects:	Power quality Deep learning Disturbance classification Short and long term memory network Python
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352484722018947

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