Lancaster EPrints

Adaptive thermal modelling for buildings.

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.

Abstract

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
ID Code: 58683
Deposited By: ep_importer_pure
Deposited On: 28 Sep 2012 10:26
Refereed?: No
Published?: Published
Last Modified: 10 Apr 2014 01:39
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/58683

Actions (login required)

View Item