Classification of Power Quality Disturbances Using Semi-supervised Deep Belief Networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42835-023-01423-0.pdf
Reference31 articles.
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3. Lin W, Wu C, Lin C, Cheng F (2008) Detection and classification of multiple power-quality disturbances with wavelet multiclass SVM. IEEE Trans Power Delivery 23(4):2575–2582
4. Kumar R, Singh B, Shahani DT, Chandra A, Al-Haddad K (2015) Recognition of power-quality disturbances using s-transform-based ANN classifier and rule-based decision tree. IEEE Trans Ind Appl 51(2):1249–1258
5. Jagannathan S, Lewis FL (1996) Identification of nonlinear dynamical systems using multilayered neural networks. Automatica 32(12):1707–1712. https://doi.org/10.1016/S0005-1098(96)80007-0
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