Publisher
International Journal of Innovative Engineering Applications
Subject
Applied Mathematics,General Mathematics
Reference10 articles.
1. [1] Uyar, M., Yildirim, S., & Gencoglu, M. T. (2008). An effective wavelet-based feature extraction method for classification of power quality disturbance signals. Electric power systems Research, 78(10), 1747-1755.
2. [2] Ray, P. K., Mohanty, S. R., Kishor, N., & Catalão, J. P. (2013). Optimal feature and decision tree-based classification of power quality disturbances in distributed generation systems. IEEE Transactions on Sustainable Energy, 5(1), 200-208.
3. [3] Abdoos, A. A., Mianaei, P. K., & Ghadikolaei, M. R. (2016). Combined VMD-SVM based feature selection method for classification of power quality events. Applied Soft Computing, 38, 637-646.
4. [4] Sahani, M., & Dash, P. K. (2018). Automatic power quality events recognition based on Hilbert Huang transform and weighted bidirectional extreme learning machine. IEEE Transactions on Industrial Informatics, 14(9), 3849-3858.
5. [5]Akmaz,D.(2021, June). The Effect of Different Entropy Values on the Success of the K Nearest Neighbors Algorithm for Classification of Power Quality Disturbances, 4th International Conference on Data Science and Applications (ICONDATA’21), June 4-5, 2021, Istanbul, TURKEY.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献