A Method for Evaluating Options for Motif Detection in Electricity Meter Data

Investigation of household electricity usage patterns, and mat- ching the patterns to behaviours, is an important area research given centrality such in addressing needs indu- stry. Additional knowledge behaviours will allow more effective targeting demand side management (DSM) techniques. This paper addresses question as whether a reasonable number meaningful motifs, that each represent regular activity within domestic household, can be identified solely using level meter data. Using UK data collected from several hundred households Spring 2011 monitored at frequency five minutes, process for finding repeating short (motifs) defined. Different ways representing motifs exist qualitative approach presented allows choosing between options based on detected (neither too few nor many).