Ellis, Carl and Hazas, Michael (2010) Adaptive thermal modelling for buildings. In: Proceedings of Ubicomp 2010 Workshop: Ubiquitous Computing for Sustainable Energy (UCSE2010). ACM, New York.Full text not available from this repository.
Modelling a house’s thermal properties and interactions is a difficult task, normally involving surveys and long periods of measurements. I propose a system which can learn all of these properties, or some aggregate representation, dynamically with very little to no input from inhabitants or trained personnel. This means the system would have to use what ever basic monitoring data was available to it and from this data create a model for each room and their interactions. This system must infer where a heating source is, and the way each heating source can affect the house individually and in tandem with multiple other sources. This shall allow for rapid deployment into unknown houses which rather than learning the behaviour of its occupants, learns the behaviour of the building itself.
|Item Type:||Contribution in Book/Report/Proceedings|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Departments:||Faculty of Science and Technology > School of Computing & Communications|
|Deposited On:||28 Sep 2012 10:26|
|Last Modified:||29 Nov 2016 00:09|
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