Finding the Creatures of Habit; Clustering Households Based on Their Flexibility in Using Electricity

4 Pages Posted: 24 Aug 2016

See all articles by Ian Dent

Ian Dent

University of Nottingham - School of Computer Science

Uwe Aickelin

University of Melbourne - School of Computing and Information Systems

Tom Rodden

University of Nottingham - School of Computer Science

Tony Craig

The James Hutton Institute

Date Written: January 1, 2012

Abstract

Changes in the UK electricity market, particularly with the roll out of smart meters, will provide greatly increased opportunities for initiatives intended to change households’ electricity usage patterns for the benefit of the overall system. Users show differences in their regular behaviours and clustering households into similar groupings based on this variability provides for efficient targeting of initiatives. Those people who are stuck into a regular pattern of activity may be the least receptive to an initiative to change behaviour. A sample of 180 households from the UK are clustered into four groups as an initial test of the concept and useful, actionable groupings are found.

Keywords: Electricity load profiles, Clustering, Flexibility, Demand Side Management

Suggested Citation

Dent, Ian and Aickelin, Uwe and Rodden, Tom and Craig, Tony, Finding the Creatures of Habit; Clustering Households Based on Their Flexibility in Using Electricity (January 1, 2012). Available at SSRN: https://ssrn.com/abstract=2828585 or http://dx.doi.org/10.2139/ssrn.2828585

Ian Dent

University of Nottingham - School of Computer Science ( email )

Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB
United Kingdom

Uwe Aickelin (Contact Author)

University of Melbourne - School of Computing and Information Systems ( email )

Australia

Tom Rodden

University of Nottingham - School of Computer Science ( email )

Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB
United Kingdom

Tony Craig

The James Hutton Institute ( email )

Craigiebuckler
Aberdeen, Scotland AB15 8QH
United Kingdom

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