The University of Southampton
University of Southampton Institutional Repository

Poster abstract. Applying extended kalman filters to adaptive thermal modelling in homes

Poster abstract. Applying extended kalman filters to adaptive thermal modelling in homes
Poster abstract. Applying extended kalman filters to adaptive thermal modelling in homes
A key challenge for intelligent domestic heating systems is to obtain sufficient knowledge of the thermal dynamics of the home to build an adaptive thermal model. We present a study where stochastic grey-box modelling is used to develop thermal models and an extended Kalman filter is used for parameter estimation for a room in a family home
Alam, Muddasser
9a8f7f5d-2a65-4933-8903-d48445358eb8
Aris-Athanasios, Panagopoulos
437c0cf3-6abb-481a-9fd4-4da1efb68867
Rogers, A.
f9130bc6-da32-474e-9fab-6c6cb8077fdc
Jennings, Nicholas R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Scott, James
38da9dc5-ce87-4dc9-96c9-14af6592c2fb
Alam, Muddasser
9a8f7f5d-2a65-4933-8903-d48445358eb8
Aris-Athanasios, Panagopoulos
437c0cf3-6abb-481a-9fd4-4da1efb68867
Rogers, A.
f9130bc6-da32-474e-9fab-6c6cb8077fdc
Jennings, Nicholas R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Scott, James
38da9dc5-ce87-4dc9-96c9-14af6592c2fb

Alam, Muddasser, Aris-Athanasios, Panagopoulos, Rogers, A., Jennings, Nicholas R. and Scott, James (2014) Poster abstract. Applying extended kalman filters to adaptive thermal modelling in homes. ACM BuildSys 2014, United States. 05 - 06 Nov 2014. 2 pp .

Record type: Conference or Workshop Item (Poster)

Abstract

A key challenge for intelligent domestic heating systems is to obtain sufficient knowledge of the thermal dynamics of the home to build an adaptive thermal model. We present a study where stochastic grey-box modelling is used to develop thermal models and an extended Kalman filter is used for parameter estimation for a room in a family home

PDF
Alam-Final.pdf - Other
Download (150kB)

More information

e-pub ahead of print date: November 2014
Venue - Dates: ACM BuildSys 2014, United States, 2014-11-05 - 2014-11-06
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 372494
URI: https://eprints.soton.ac.uk/id/eprint/372494
PURE UUID: 661bcc4e-1142-42c8-ab4e-9cfbe99357a9

Catalogue record

Date deposited: 12 Dec 2014 12:13
Last modified: 17 Jul 2017 21:40

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×