Power quality events recognition using enhanced empirical mode decomposition and optimized extreme learning machine

•Empirical Mode Decomposition technique is used for feature extraction to detect power quality disturbances.•Kriging interpolation-based Empirical Mode Decomposition enhances the performance.•Extreme Learning Machine is used for the classification of power quality disturbances.•The robustness of the...

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Veröffentlicht in:	Computers & electrical engineering 2022-05, Vol.100, p.107926, Article 107926
Hauptverfasser:	Samanta, Indu Sekhar, Rout, Pravat Kumar, Swain, Kunjabihari, Cherukuri, Murthy, Mishra, Satyasis
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Classification Computation Empirical analysis Empirical mode decomposition Extreme learning machine Kriging interpolation Machine learning Optimization Optimization techniques Power quality events Robustness Symbiotic organism search
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