Modelling Power Quality with Fuzzy C-Means Clustering

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

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4. Conclusion

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