Analysis of Home Energy Consumption by K-Mean

Annals of Emerging Technologies in Computing

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

关键词: Load-Profiles;    K-means;    Clusters;    Data Science;    Data Set;   

学科分类：电子与电气工程

来源: International Association for Educators and Researchers (IAER)

【 摘 要 】

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.

【 授权许可】

CC BY