Modelling Power Quality with Fuzzy C-Means Clustering

Ayesha Molla, Chinedu Fernandez, Ramesh Chatterjee, Tanvir Chowdhury

Open Access Journal of Engineering Applications · doi:10.55555/oajea.2002.2601.024

1. Introduction

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.

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2. Materials and Methods

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3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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