English

Finding the creatures of habit; Clustering households based on their flexibility in using electricity

Machine Learning 2013-07-09 v1 Computational Engineering, Finance, and Science

Abstract

Changes in the UK electricity market, particularly with the roll out of smart meters, will provide greatly increased opportunities for initiatives intended to change households' electricity usage patterns for the benefit of the overall system. Users show differences in their regular behaviours and clustering households into similar groupings based on this variability provides for efficient targeting of initiatives. Those people who are stuck into a regular pattern of activity may be the least receptive to an initiative to change behaviour. A sample of 180 households from the UK are clustered into four groups as an initial test of the concept and useful, actionable groupings are found.

Keywords

Cite

@article{arxiv.1307.2111,
  title  = {Finding the creatures of habit; Clustering households based on their flexibility in using electricity},
  author = {Ian Dent and Tony Craig and Uwe Aickelin and Tom Rodden},
  journal= {arXiv preprint arXiv:1307.2111},
  year   = {2013}
}

Comments

Digital Futures 2012, Aberdeen, UK, 2012