Clustering Commercial And Residential Electricity Consumption Using K-Means Algorithm
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AUTHOR(S)
Esnehara Bagundang, Cyrus Rael
KEYWORDS
Clustering, K-Means Algorithm, Electricity Consumption
ABSTRACT
This study implemented K-means Algorithm to cluster the data set of electricity consumption of clients. The data set was obtained from the Meter Reader Billing Statement System of Sultan Kudarat Electric Cooperative, Inc. (SUKELCO). It aimed to cluster the electricity consumption of commercial and residential clients for the period of four months (January-April 2021). The result of this study shows an interesting fact that majority of both commercial and residential clients belongs to the group with low electricity consumption and there is an increase demand of electricity each month.
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