Scott, James and Bernheim Brush, A.J. and Krumm, John and Meyers, Brian and Hazas, Michael and Hodges, Stephen and Villar, Nicolas (2011) PreHeat: controlling home heating using occupancy prediction. In: Proceedings of the 13th international conference on Ubiquitous computing (UbiComp '11). UbiComp '11 . ACM, New York, pp. 281-290. ISBN 978-1-4503-0630-0Full text not available from this repository.
Home heating is a major factor in worldwide energy use. Our system, PreHeat, aims to more efficiently heat homes by using occupancy sensing and occupancy prediction to automatically control home heating. We deployed PreHeat in five homes, three in the US and two in the UK. In UK homes, we controlled heating on a per-room basis to enable further energy savings. We compared PreHeat's prediction algorithm with a static program over an average 61 days per house, alternating days between these conditions, and measuring actual gas consumption and occupancy. In UK homes PreHeat both saved gas and reduced MissTime (the time that the house was occupied but not warm). In US homes, PreHeat decreased MissTime by a factor of 6-12, while consuming a similar amount of gas. In summary, PreHeat enables more efficient heating while removing the need for users to program thermostat schedules.
|Item Type:||Contribution in Book/Report/Proceedings|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Departments:||Faculty of Science and Technology > School of Computing & Communications|
|Deposited On:||19 Jul 2012 17:17|
|Last Modified:||24 Apr 2017 02:18|
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