Source of Publication
Procedia Computer Science
© 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.
data, Home Sensor Network, Smart, Temperature Forecasting
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Spencer, Bruce and Alfandi, Omar, "Forecasting Internal Temperature in a Home with a Sensor Network" (2016). All Works. 1697.
Indexed in Scopus
Open Access Type
Gold: This publication is openly available in an open access journal/series