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Analysis of Home Energy Consumption by K-Mean

Journal: Annals of Emerging Technologies in Computing (AETiC) (Vol.1, No. 1)

Publication Date:

Authors : ; ; ; ; ;

Page : 1-6

Keywords : Load-Profiles; K-means; Clusters; Data Science; Data Set;

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Abstract

The smart meter offered exceptional chances to well comprehend energy consumption manners in which quantity of data being generated. One request was the separation of energy load-profiles into clusters of related conduct. The Research measured the resemblance between groups them together and load-profiles into clusters by k-means clustering algorithm. The cluster met, also called “Gender (Male/Female), House (Rented/Owned) and customers status (Satisfied/Unsatisfied)” display methods of consuming energy. It provided value information aimed at utilities to generate specific electricity charges and healthier aim energy efficiency programs. The results show that 43% extremely dissatisfied of energy customer is achieved by using energy consumption.

Last modified: 2019-01-01 22:20:48