K-means based cluster analysis of residential smart meter measurements

被引：37

作者：

Al-Wakeel, Ali ^{[1
]}

Wu, Jianzhong ^{[1
]}

机构：

[1] Cardiff Univ, Sch Engn, Cardiff CF24 3AA, S Glam, Wales

来源：

CUE 2015 - APPLIED ENERGY SYMPOSIUM AND SUMMIT 2015: LOW CARBON CITIES AND URBAN ENERGY SYSTEMS | 2016年 / 88卷

关键词：

Smart meter measurements; k-means; cluster analysis; ENERGY-CONSUMPTION; LOAD PROFILES; SEGMENTATION; CUSTOMERS; CURVES;

D O I：

10.1016/j.egypro.2016.06.066

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

080707 [能源环境工程]; 082001 [油气井工程];

摘要：

A clustering module based on the k-means cluster analysis method was developed. Smart meter based residential load profiles were used to validate the clustering module. Several case studies were implemented using daily and segmented load profiles of individual and aggregated smart meters. Simulation results defined in terms of the relationship between the clustering ratio and the segmentation time window reveal that the minimum clustering ratio is obtained for the shortest time window of segmentation. Results also show that a small number of clusters is recommended for highly correlated load profiles. (C) 2016 The Authors. Published by Elsevier Ltd.

引用

页码：754 / 760

页数：7

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