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PreHeat: controlling home heating using occupancy prediction

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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PreHeat: controlling home heating using occupancy prediction. / Scott, James; Bernheim Brush, A.J.; Krumm, John et al.
Proceedings of the 13th international conference on Ubiquitous computing (UbiComp '11). New York: ACM, 2011. p. 281-290 (UbiComp '11).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Scott, J, Bernheim Brush, AJ, Krumm, J, Meyers, B, Hazas, M, Hodges, S & Villar, N 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. https://doi.org/10.1145/2030112.2030151

APA

Scott, J., Bernheim Brush, A. J., Krumm, J., Meyers, B., Hazas, M., Hodges, S., & Villar, N. (2011). PreHeat: controlling home heating using occupancy prediction. In Proceedings of the 13th international conference on Ubiquitous computing (UbiComp '11) (pp. 281-290). (UbiComp '11). ACM. https://doi.org/10.1145/2030112.2030151

Vancouver

Scott J, Bernheim Brush AJ, Krumm J, Meyers B, Hazas M, Hodges S et al. PreHeat: controlling home heating using occupancy prediction. In Proceedings of the 13th international conference on Ubiquitous computing (UbiComp '11). New York: ACM. 2011. p. 281-290. (UbiComp '11). doi: 10.1145/2030112.2030151

Author

Scott, James ; Bernheim Brush, A.J. ; Krumm, John et al. / PreHeat: controlling home heating using occupancy prediction. Proceedings of the 13th international conference on Ubiquitous computing (UbiComp '11). New York : ACM, 2011. pp. 281-290 (UbiComp '11).

Bibtex

@inproceedings{99c4e3652d3f481d9f33ff617bde2f29,
title = "PreHeat: controlling home heating using occupancy prediction",
abstract = "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.",
author = "James Scott and {Bernheim Brush}, A.J. and John Krumm and Brian Meyers and Michael Hazas and Stephen Hodges and Nicolas Villar",
year = "2011",
doi = "10.1145/2030112.2030151",
language = "English",
isbn = "978-1-4503-0630-0",
series = "UbiComp '11",
publisher = "ACM",
pages = "281--290",
booktitle = "Proceedings of the 13th international conference on Ubiquitous computing (UbiComp '11)",

}

RIS

TY - GEN

T1 - PreHeat: controlling home heating using occupancy prediction

AU - Scott, James

AU - Bernheim Brush, A.J.

AU - Krumm, John

AU - Meyers, Brian

AU - Hazas, Michael

AU - Hodges, Stephen

AU - Villar, Nicolas

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=80054085323&partnerID=8YFLogxK

U2 - 10.1145/2030112.2030151

DO - 10.1145/2030112.2030151

M3 - Conference contribution/Paper

SN - 978-1-4503-0630-0

T3 - UbiComp '11

SP - 281

EP - 290

BT - Proceedings of the 13th international conference on Ubiquitous computing (UbiComp '11)

PB - ACM

CY - New York

ER -