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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-11-01
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Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722018947 |