Multi-Label Classification for Power Quality Disturbances by Integrated Deep Learning
The traditional power quality disturbances classification methods include three stages, i.e., feature extraction, feature selection, classifier training. These methods suffer from low accuracy and a limited improvement margin. Since deep learning can greatly improve the accuracy of classification, a...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
IEEE
2021
|
| Subjects: | |
| Online Access: | https://doaj.org/article/d8775a8e800140b0b425564cadf68c0b |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!