K-means based cluster analysis of residential smart meter measurements

Al-Wakeel, Ali ORCID: https://orcid.org/0000-0003-4970-7309 and Wu, Jianzhong ORCID: https://orcid.org/0000-0001-7928-3602 2016. K-means based cluster analysis of residential smart meter measurements. Energy Procedia 88 , pp. 754-760. 10.1016/j.egypro.2016.06.066

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Abstract

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.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Engineering
Additional Information:	CUE 2015 - Applied Energy Symposium and Summit 2015: Low carbon cities and urban energy systems
Publisher:	Elsevier
ISSN:	1876-6102
Funders:	European Commision Horizon 2020
Date of First Compliant Deposit:	27 June 2016
Date of Acceptance:	17 June 2016
Last Modified:	05 May 2023 01:45
URI:	https://orca.cardiff.ac.uk/id/eprint/92136

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