UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Development of a Statistical Model for the Prediction of Overheating in UK Homes Using Descriptive Time Series Analysis

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. Green open access

[thumbnail of BS_2017_Oraiopoulos.pdf]
Preview
Text
BS_2017_Oraiopoulos.pdf - Published Version

Download (1MB) | Preview

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
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
Downloads since deposit
Loading...
14Downloads
Download activity - last month
Loading...
Download activity - last 12 months
Loading...
Downloads by country - last 12 months
Loading...

Archive Staff Only

View Item View Item