BIM-based machine learning engine for building energy prediction

Bie, Sisi and Li, Haijiang ORCID: https://orcid.org/0000-0001-6326-8133 2019. BIM-based machine learning engine for building energy prediction. Presented at: 36th CIB W78 2019 Conference, Newcastle, England, UK, 18-20 September 2019. Item availability restricted.

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Abstract

Buildings consume a large amount of energy; it is therefore important to find a better way to manage building energy performance more effectively. The recent developments in data science and machine learning show a good potential to leverage the different sources of data to predict energy consumption. This paper reviews the current research in these areas and proposes a BIM (Building Information Modelling) based approach to provide data and information to train the relevant machine learning (ML) engine. The method has been demonstrated with a daylight illuminance prediction analysis. The presented preliminary result can potentially lead to a more generic tool, where rich data and information embedded in BIM models can be utilized for better decision making.

Item Type:	Conference or Workshop Item (Paper)
Status:	In Press
Schools:	Engineering
Date of First Compliant Deposit:	6 April 2020
Date of Acceptance:	18 September 2019
Last Modified:	07 Nov 2022 10:00
URI:	https://orca.cardiff.ac.uk/id/eprint/130833

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