Yu, J., Chang, W.-S. orcid.org/0000-0002-2218-001X and Dong, Y. (2022) Building energy prediction models and related uncertainties: a review. Buildings, 12 (8). 1284. ISSN 2075-5309
Abstract
Building energy usage has been an important issue in recent decades, and energy prediction models are important tools for analysing this problem. This study provides a comprehensive review of building energy prediction models and uncertainties in the models. First, this paper introduces three types of prediction methods: white-box models, black-box models, and grey-box models. The principles, strengths, shortcomings, and applications of every model are discussed systematically. Second, this paper analyses prediction model uncertainties in terms of human, building, and weather factors. Finally, the research gaps in predicting building energy consumption are summarised in order to guide the optimisation of building energy prediction methods.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Keywords: | building energy consumption; building energy prediction models; white-box models; black-box models; grey-box models; uncertainty analysis |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of Architecture (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 01 Sep 2022 12:27 |
Last Modified: | 01 Sep 2022 12:27 |
Status: | Published |
Publisher: | MDPI AG |
Refereed: | Yes |
Identification Number: | 10.3390/buildings12081284 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:190424 |