The Application of a Data Mining Framework to Energy Usage Profiling in Domestic Residences Using UK Data

10 Pages Posted: 25 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

Date Written: January 1, 2011

Abstract

This paper describes a method for defining representative load profiles for domestic electricity users in the UK. It considers bottom up and clustering methods and then details the research plans for implementing and improving existing framework approaches based on the overall usage profile. The work focuses on adapting and applying analysis framework approaches to UK energy data in order to determine the effectiveness of creating a few (single figures) archetypical users with the intention of improving on the current methods of determining usage profiles. The work is currently in progress and the paper details initial results using data collected in Milton Keynes around 1990. Various possible enhancements to the work are considered including a split based on temperature to reflect the varying UK weather conditions.

Suggested Citation

Dent, Ian and Aickelin, Uwe and Rodden, Tom, The Application of a Data Mining Framework to Energy Usage Profiling in Domestic Residences Using UK Data (January 1, 2011). Available at SSRN: https://ssrn.com/abstract=2829282 or http://dx.doi.org/10.2139/ssrn.2829282

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

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