Document Type
Conference Proceeding
Source of Publication
Procedia Computer Science
Publication Date
1-1-2016
Abstract
© 2016 The Authors. We forecast internal temperature in a home with sensors, modeled as a linear function of recent sensor values. The Smart∗Project provides publicly available data from an inhabited home over a three month period, reporting on 38 sensors including environmental readings, circuit loads, motion detectors, and switches controlling lights and fans. We select 13 of these sensors that have some influence on the internal temperature, and create forecasts that are accurate to within about 1.6°F (0.9°C) over the next six hours. Temperature prediction is important for saving energy while maintaining comfortable conditions in the home.
DOI Link
ISSN
Publisher
Elsevier
Volume
83
First Page
1244
Last Page
1249
Disciplines
Computer Sciences
Keywords
data, Home Sensor Network, Smart, Temperature Forecasting
Scopus ID
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Spencer, Bruce and Alfandi, Omar, "Forecasting Internal Temperature in a Home with a Sensor Network" (2016). All Works. 1697.
https://zuscholars.zu.ac.ae/works/1697
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Gold: This publication is openly available in an open access journal/series