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Application Of Intelligent Algorithms For Residential Building Energy Performance Rating Prediction
Date Issued
2019-09-04
Date Available
2021-06-21T11:27:28Z
Abstract
Energy Performance Certificates (EPC) provide an indication of buildings’ energy use. The creation of an EPC for individual building requires information surveys. Hence, these ratings are typically non-existent for entire building stock. This paper addresses these information gaps using machine-learning models. Developed models were evaluated with Irish EPC data that included approximately 650,000 residential buildings with 199 inputs variables. Results indicate that the deep learning algorithm produces results with highest accuracy level of 88% when only 82 input variables are available. This identified approach will allow stakeholders such as authorities, policy makers and urban-planners to determine the EPC rating for the rest of the building stock using limited data.
Sponsorship
University College Dublin
Other Sponsorship
ESIPP UCD
Type of Material
Conference Publication
Publisher
IBPSA
Copyright (Published Version)
2019 the Authors
Web versions
Language
English
Status of Item
Peer reviewed
Part of
Corrado, V. F,abrizio, E. Gasparella, A. and Patuzzi, F. (eds.). Building Simulation 2019
Conference Details
The 16th International Building Simulation Association, Rome, Italy, 2-4 September 2019
ISBN
9781775052012
ISSN
2522-2708
This item is made available under a Creative Commons License
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