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Bundle Extreme Learning Machine for Power Quality Analysis in Transmission Networks
2019
Energies
This paper presents a novel method for online power quality data analysis in transmission networks using a machine learning-based classifier. The proposed classifier has a bundle structure based on the enhanced version of the Extreme Learning Machine (ELM). Due to its fast response and easy-to-build architecture, the ELM is an appropriate machine learning model for power quality analysis. The sparse Bayesian ELM and weighted ELM have been embedded into the proposed bundle learning machine. The
doi:10.3390/en12081449
fatcat:fkorqoidgbglbmhb3dw44no2ta