Oraiopoulos, Argyris;
Kane, Tom;
Firth, Steven K;
Lomas, Kevin J;
(2017)
Development of a Statistical Model for the Prediction of Overheating in UK Homes Using Descriptive Time Series Analysis.
In: Barnaby, Charles S and Wetter, Michael, (eds.)
Proceedings of Building Simulation 2017: 15th Conference of IBPSA.
(pp. pp. 1939-1948).
IBPSA: San Francisco, CA, USA.
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Abstract
Overheating risk in dwellings is often predicted using modelling techniques based on assumptions of heat gains, heat losses and heat storage. However, a simpler method is to use empirical data to predict internal temperatures in dwellings based on external climate data. The aim of this research is to use classical time series descriptive analysis and construct statistical models that allow the prediction of future internal temperatures based external weather data. Initial results from the analysis of a living room in a house show that the proposed method can successfully predict the risk of overheating based on four different overheating criteria.
Type: | Proceedings paper |
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Title: | Development of a Statistical Model for the Prediction of Overheating in UK Homes Using Descriptive Time Series Analysis |
Event: | 15th International Conference of IBPSA |
ISBN-13: | 978-1-7750520-0-5 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.26868/25222708.2017.523 |
Publisher version: | https://doi.org/10.26868/25222708.2017.523 |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
URI: | https://discovery.ucl.ac.uk/id/eprint/10162705 |
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