Analysis of Household Electricity Consumption Patterns Using K-Nearest Neighbor (KNN) Method

Authors

DOI:

https://doi.org/10.35870/ijsecs.v5i1.3877

Keywords:

Electrical Energy Consumption, Domestic Sector, K-Nearest Neighbor, Energy Efficiency, Sustainable Practices

Abstract

The increasing demand for electricity in the household sector poses significant challenges to energy efficiency initiatives and environmental conservation efforts. Examining electricity usage patterns offers a pathway to uncover key determinants that influence consumption levels while formulating more effective strategies for energy management. This study attempts to evaluate electricity consumption patterns in the household sector using the K-Nearest Neighbor (KNN) algorithm. This approach is used to categorize consumption data based on attribute similarities among household units. The findings are expected to encourage more rational electricity usage practices, thereby reducing energy inefficiencies and strengthening efforts to conserve natural resources. Furthermore, the analysis aims to provide actionable insights for households to adopt sustainable habits and for policymakers to design targeted interventions that address peak demand periods and promote the use of energy-efficient technologies. By identifying specific behavioral and technological factors that contribute to high consumption, the results can serve as a basis for tailored programs aimed at minimizing waste and promoting long-term environmental management.

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Author Biographies

  • Cut Susan Octiva, Universitas Amir Hamzah

    Universitas Amir Hamzah, Deli Serdang Regency, North Sumatra Province, Indonesia

  • Sultan Hady, Universitas Dayanu Ikhsanuddin

    Universitas Dayanu Ikhsanuddin, Baubau City, Southeast Sulawesi Province, Indonesia

  • Dedy Irwan, Universitas Harapan Medan

    Universitas Harapan Medan, Medan City, North Sumatra Province, Indonesia

  • T. Irfan Fajri, Universitas Islam Kebangsaan Indonesia

    Universitas Islam Kebangsaan Indonesia, Bireuen Regency, Aceh Province, Indonesia

  • Novrini Hasti, Universitas Komputer Indonesia

    Universitas Komputer Indonesia, Bandung City, West Java Province, Indonesia

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Published

2025-04-01

Issue

Vol. 5 No. 1 (2025): APRIL 2025

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Copyright (c) 2025 Cut Susan Octiva, Sultan Hady, Dedy Irwan, T. Irfan Fajri, Novrini Hasti

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How to Cite

Octiva, C. S., Hady, S., Irwan, D., Fajri, T. I., & Hasti, N. (2025). Analysis of Household Electricity Consumption Patterns Using K-Nearest Neighbor (KNN) Method. International Journal Software Engineering and Computer Science (IJSECS), 5(1), 442-449. https://doi.org/10.35870/ijsecs.v5i1.3877

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