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 language | English |
|---|---|
| Pages (from-to) | 313-319 |
| Journal | Journal of Computing in Systems and Engineering |
| Volume | 15 |
| Publication status | Published - 2014 |
Keywords
- thermal comfort
- Smart Home
- prediction
- domestic
- sensor fusion
- smart environment
- AI
Fingerprint
Dive into the research topics of 'Data sources for a model to predict air temperatures inside a residential home'. Together they form a unique fingerprint.Student theses
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Residential home temperature prediction models that use space conditioning experiments and disparate sources of information
Author: Bausch, N. C., 2014Supervisor: Tewkesbury, G. (Supervisor), Sanders, D. (Supervisor) & Ramlall, S. (Supervisor)
Student thesis: Doctoral Thesis
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