Power Quality Event Classification Using Wavelets, Decision Trees and SVM Classifiers-Reference-Cited by-同舟云学术

Power Quality Event Classification Using Wavelets, Decision Trees and SVM Classifiers

Published:2022 Issue: Volume: Page:245-251
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
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Author:

Venkata Subbarao M.,Pravallika Chinimilli,Ramesh Varma D.,Prema Kumar M.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-8512-5_27

Reference10 articles.

1. C.Y. Lee, Y.X. Shen, Optimal feature selection for power-quality disturbances classification. IEEE Trans. Power Delivery 26(4), 2342–2351 (2011)

2. M.V. Subbarao, S.K. Terlapu, V.V.S.S.S. Chakravarthy, S.C. Satapaty, Pattern recognition of time-varying signals using ensemble classifiers, in Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol. 655, eds. by P. Chowdary, V. Chakravarthy, J. Anguera, S. Satapathy, V. Bhateja (Springer, Singapore, 2021). https://doi.org/10.1007/978-981-15-3828-5_76

3. P.K. Dash, M.V. Chilukuri, Hybrid S-transform and Kalman filtering approach for detection and measurement of short duration disturbances in power networks, in IEEE Transactions on Instrumentation and Measurement, vol. 9. 2018 6th International Istanbul Smart Grids and Cities Congress and Fair (ICSG), Apr 2018, pp. 39–43

4. F. Ucar, O.F. Alcin, B. Dandil, F. Ata, J. Cordova, R. Arghandeh, Online power quality events detection using weighted extreme learning machine, in 2018 6th International Istanbul Smart Grids and Cities Congress and Fair (ICSG), 2018, pp. 39–43. https://doi.org/10.1109/SGCF.2018.8408938.

5. B. Biswal, P.K. Dash, B.K. Panigrahi, Power quality disturbance classification using fuzzy C-means algorithm and adaptive particle swarm optimization. IEEE Trans. Ind. Electron. 56(1), 212–220 (2009)

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