An Approach to Clustering of Power Quality Events Data
In this paper, the authors describe the, k-means clustering method applied to power quality event data. The data is collected by power monitors. This data thus supplied is used to generate a variety of reports such as the voltage drop, daily parameter report, etc. This project is an end to end smart energy management solution which provides user whether Residential, Industrial, many advantages through powerful reports and in-built control methods. This paper can help translate energy from cost center to a profit center for different people.