The Application of a Data Mining Framework to Energy Usage Profiling in Domestic Residences using UK data
This work addresses energy usage profiling for domestic residences in the UK, but it is incremental as it focuses on improving existing framework approaches.
The paper tackles the problem of defining representative electricity load profiles for UK domestic users by adapting and applying a data mining framework to historical energy data, with initial results from 1990 data in Milton Keynes showing the potential to create a few archetypical profiles.
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.