Modelling Power Quality with Fuzzy C-Means Clustering
Ayesha Molla
Corresponding
Bangladesh Agricultural University
Chinedu Fernandez
Politecnico di Milano
Ramesh Chatterjee
Tokyo Institute of Technology
Tanvir Chowdhury
Military Institute of Science and Technology
Abstract
Safety considerations alone are sufficient to justify a thorough and systematic investigation of power quality in wireless sensor networks. A comparative study was undertaken in which several candidate configurations were evaluated with fuzzy c-means clustering. Sensitivity analysis showed that power quality accounted for more than 63% of the total variation. The evidence gathered here strengthens the case for wider adoption of the technique.
Keywords:
power qualityfuzzy c-means clusteringsupport vector machineedge detectionadsorption
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