Analysis of Home Energy Consumption by K-Mean
Journal Title: Annals of Emerging Technologies in Computing - Year 2017, Vol 1, Issue 1
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.
Authors and Affiliations
Fahad Razaque, Nareena Soomro, Javed A. Samo, Huma Dharejo, Shoaib Shaikh
Keywords
Related Articles
- EP ID EP350218
- DOI 10.33166/AETiC.2017.01.001
- Views 55
- Downloads 0
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