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

2013/07/04 by Ian Dent, Dent, Ian, Christian Wagner +5
Computer Science · #Computational Engineering #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #and Science (cs.CE) #cs.CE #cs.LG

paper · pdf · doi:10.48550/arxiv.1307.1385

Digital Engagement 11, Newcastle, November 2011

arxiv created 2013/07/04 · arxiv updated 2013/07/05

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.

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