Designing sensor sets for capturing energy events in buildings

Tom Lovett, Elizabeth Gabe-Thomas, Sukumar Natarajan, Matthew Brown, Julian Padget

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

We study the problem of designing sensor sets for capturing energy events in buildings. In addition to direct energy sensing methods, e.g. electricity and gas, it is often desirable to monitor energy use and occupant activity through other sensors such as temperature and motion. However, practical constraints such as cost and deployment requirements can limit the choice, quantity and quality of sensors that can be distributed within each building, especially for large-scale deployments. In this paper, we present an approach to select a set of sensors for capturing energy events, using a measure of each candidate sensor's ability to predict energy events within a building. We use constrained optimisation - specifically, a bounded knapsack problem (BKP) - to choose the best sensors for the set given each sensor's predictive value and specified cost constraints. We present the results from a field study of 4 UK homes with temperature, light, motion, humidity, sound and CO2 sensors, showing how valuable yet expensive sensors are often not chosen in the optimal set.
Original languageEnglish
Title of host publicatione-Energy 2014 - Proceedings of the 5th ACM International Conference on Future Energy Systems
Place of PublicationNew York, U. S. A.
PublisherAssociation for Computing Machinery
Pages229-230
Number of pages2
ISBN (Print)9781450328197
DOIs
Publication statusPublished - 2014
Event5th ACM International Conference on Future Energy Systems, e-Energy 2014 - Cambridge , UK United Kingdom
Duration: 11 Jun 201413 Jun 2014

Conference

Conference5th ACM International Conference on Future Energy Systems, e-Energy 2014
CountryUK United Kingdom
City Cambridge
Period11/06/1413/06/14

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