S-Transform with a Compact Support Kernel and Classification Models Based Power Quality Recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42835-022-01009-2.pdf
Reference36 articles.
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2. Igual R, Medrano C (2020) Research challenges in real-time classification of power quality disturbances applicable to microgrids: a systematic review. Renew Sustain Energy Rev 132:110050
3. Jayasreea T, Devarajb D, Sukaneshc R (2010) Power quality disturbance classification using Hilbert transform and RBF networks. Neurocomputing 73:1451–1456
4. Rodriguez MA, Sotomonte JF, Cifuentes J, Bueno-López M (2021) A classification method for power-quality disturbances using Hilbert–Huang transform and LSTM recurrent neural networks. J Electr Eng Technol 16:249–266. https://doi.org/10.1007/s42835-020-00612-5
5. Brigham EO (1974) The Fast Fourier transform. Prentice-Hall, Englewood Cliffs
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