An Evidence Based Approach To Determining Residential Occupancy and its Role in Demand Response Management

Joel Chaney, Edward Hugh Owens, Andrew Peacock

Research output: Contribution to journalArticle

28 Citations (Scopus)
37 Downloads (Pure)

Abstract

This article introduces a methodological approach for analysing time series data from multiple sensors in order to estimate home occupancy. The approach combines the Dempster-Shafer theory, which allows the fusion of ‘evidence’ from multiple sensors, with the Hidden Markov Model. The procedure addresses some of the practicalities of occupancy estimation including the blind estimation of sensor distributions during unoccupied and occupied states, and issues of occupancy inference when some sensors have missing data. The approach is applied to preliminary data from a residential family home on the North Coast of Scotland giving an occupancy profile, which is validated with information provided by the household. Knowledge of occupancy is fused with consumption behaviour and simple metric developed to allow the assessment of how likely it is that a household can participate in demand response at different periods during the day. The benefits of demand response initiatives are qualitatively discussed.
Original languageEnglish
Pages (from-to)254–266
Number of pages13
JournalEnergy and Buildings
Volume125
Early online date30 Apr 2016
DOIs
Publication statusPublished - 1 Aug 2016

Keywords

  • Occupancy Sensing
  • Demand response
  • Home automation
  • Energy efficiency

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