Output details
11 - Computer Science and Informatics
Lancaster University
Output title
Matchstick: a room-to-room thermal model for predicting indoor temperature from wireless sensor data
Type
E - Conference contribution
Name of conference/published proceedings
Proceedings of the 12th International Conference on Information Processing in Sensor Networks (IPSN '13)
Volume number
-
Issue number
-
First page of article
31
ISSN of proceedings
-
Year of publication
2013
Number of additional authors
2
Additional information
<21> Great novelty: accurate indoor temperature prediction, for all rooms in a building, six hours into the future. Unlike prior work, the algorithm is evaluated using new techniques; real, challenging sensor data from inhabited homes (US and UK), side-by-side with competing modelling algorithms. IPSN is a top-tier conference in sensors and algorithms, and had a 21% acceptance rate in 2013.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
