A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Temperature Forecasts with Stable Accuracy in a Smart Home
2016
Procedia Computer Science
We forecast internal temperature in a home with sensors, modeled as a linear function of recent sensor values. When delivering forecasts as a service, two desirable properties are that forecasts have stable accuracy over a variety of forecast horizons -so service levels can be predicted -and that the forecasts rely on a modest amount of sensor history -so forecasting can be restarted soon after any data outage due to, for example, sensor failure. From a publicly available data set, we show that
doi:10.1016/j.procs.2016.04.160
fatcat:5futaieyjfcmbakm2x3cksdryq