Creating Personalised Energy Plans. From Groups to Individuals using Fuzzy C Means Clustering

TL;DR

This paper explores using Fuzzy C Means clustering to create personalized energy plans by grouping households based on usage profiles, enabling targeted marketing and behavioral feedback for energy efficiency.

Contribution

It introduces a fuzzy clustering approach for personalized energy planning, allowing households to belong to multiple groups and receive tailored feedback.

Findings

Fuzzy C Means clustering effectively groups households by usage patterns.

Personalized feedback can influence household energy behavior.

The method supports targeted marketing based on household profiles.

Abstract

Changes in the UK electricity market mean that domestic users will be required to modify their usage behaviour in order that supplies can be maintained. Clustering allows usage profiles collected at the household level to be clustered into groups and assigned a stereotypical profile which can be used to target marketing campaigns. Fuzzy C Means clustering extends this by allowing each household to be a member of many groups and hence provides the opportunity to make personalised offers to the household dependent on their degree of membership of each group. In addition, feedback can be provided on how user's changing behaviour is moving them towards more "green" or cost effective stereotypical usage.