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International Journal of Scientific & Technology Research

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IJSTR >> Volume 10 - Issue 8, August 2021 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Clustering Commercial And Residential Electricity Consumption Using K-Means Algorithm

[Full Text]

 

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.

 

REFERENCES

[1] E. Alpaydin, Introduction to Machine Learning, 2010.
[2] A. Kanungo, David M. Mount, N. S. Netanyahu, C. D. Piatko, R. Silverman and A. Y. Wu., "An Efficient k-means Clustering Algorithm: Analysis and Implementation," 2002.
[3] M. Syakur, Khotimah, B, Rohman, Eka and Dwi Satoto, Budi, "Integration K-Means Clustering Method and Elbow Method For Identification of The Best Customer Profile Cluster," 2018.
[4] G. Guojun and Michael, Kwok-PoNgb, "k-means clustering with outlier removal," Pattern Recognition Letters, vol. 90, pp. 8-14, 2017.
[5] Z. Zhang and T. Zimet, "K-means Based Clustering Analysis of Household Energy Consumption," 2018.
[6] M. A. R. Fitri, YakubEmail, N. N. I. Sulaiman and M. Z. A. Rashid, "Energy Consumption Clustering Analysis in Residential Building," 2019.
[7] Y. Amri, A. Lailatul Fadhilah, Fatmawati, N. Setiani and Septia, "Analysis Clustering of Electricity Usage Profile Using," IOP Conf. Series: Materials Science and Engineering, 2020.