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.

ISSN

1877-0509

Publisher

Elsevier

Volume

83

First Page

1244

Last Page

1249

Disciplines

Computer Sciences

Keywords

data, Home Sensor Network, Smart, Temperature Forecasting

Scopus ID

84971268459

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Indexed in Scopus

yes

Open Access

yes

Open Access Type

Gold: This publication is openly available in an open access journal/series

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