Power Quality Data Mining Using Hybrid Feature Extraction Technique
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-6913-3_34
Reference15 articles.
1. Ahsan MK, Pan T, Li Z (2018) A three decades of marvellous significant review of power quality events regarding detection & classification. J Power Energy Eng 6:1–37
2. Moravej Z, Banihashemi SA, Velayati MH (2009) Power quality events classification and recognition using a novel support vector algorithm. J Energy Conv Manag 50:3071–3077
3. Uyar M, Yildirim S, Gencoglu MT (2008) An effective wavelet-based feature extraction method for classification of power quality disturbance signals. J Electr Power Syst Res 78:1747–1755
4. Behera HS, Dash PK, Biswal B, Power quality time series data mining using S-transform and fuzzy expert system. J Appl Soft Comput 10:945–955
5. Suja S, Jerome J (2010) Pattern recognition of power signal disturbances using S Transform and TT transform. J Electr Power Energy Syst 32:37–53
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