Data sources for a model to predict air temperatures inside a residential home

Research output: Contribution to journalArticlepeer-review

Abstract

This paper introduces the data sources for a model to predict air temperatures inside a residential home. Sources included local and remote environmental sensors. Data from the sensors is being used to create models of temperature change. The sensor data is expected to lead to new and novel system designs that will combine the new models with traditional heating control to create a new optimal start-stop heating application for residential homes.
Original languageEnglish
Pages (from-to)313-319
Number of pages7
JournalJournal of Computing in Systems & Engineering
Volume15
Publication statusPublished - 2014
Externally publishedYes

Cite this