Paper #1

Analysis of Home Energy Consumption by K-Mean

Fahad Razaque, Nareena Soomro, Javed Ahmed Samo, Huma Dharejo and Shoaib Shaikh

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.

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