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• W3158049794 endingPage "111174" @default.
• W3158049794 startingPage "111174" @default.
• W3158049794 abstract "Grey-box modeling, as one of the three fundamental modeling techniques for building energy models, has many advantages compared with black-box modeling and white-box modeling. It has been widely applied to solve problems of building technologies, such as building load estimation, control and optimization, and building-grid integration. However, a thorough review of grey-box modeling is not available. This review study systematically investigated various aspects of grey-box modeling for buildings. First, the fundamental aspects of grey-box modeling are presented, including the theoretical background, modeling of building elements, modeling order, modeling diagram, and order reduction. Second, the detailed modeling approaches are discussed. Third, multiple applications of grey-box modeling are investigated for building energy domain, which are categorized into the following groups: heat dynamics analysis, thermal load estimation, building control and optimization, district/urban scale energy modeling, and building-grid integration. Finally, the available software packages for grey-box modeling are compared. Overall, the challenges of using grey-box modeling can be summarized as follows: (1) the theoretical limitations and assumptions of grey-box modeling are unclear; (2) grey-box model naming convention and structure are confusing; (3) grey-box model creation is vague; (4) suitable applications of grey-box models are unknown; and (5) grey-box models lack unified software solutions for wider adoption." @default.
• W3158049794 created "2021-05-10" @default.
• W3158049794 creator A5031048208 @default.
• W3158049794 creator A5031520161 @default.
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• W3158049794 creator A5066599847 @default.
• W3158049794 creator A5066669103 @default.
• W3158049794 creator A5088201501 @default.
• W3158049794 date "2021-08-01" @default.
• W3158049794 modified "2023-10-14" @default.
• W3158049794 title "Grey-box modeling and application for building energy simulations - A critical review" @default.
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• W3158049794 doi "https://doi.org/10.1016/j.rser.2021.111174" @default.
• W3158049794 hasPublicationYear "2021" @default.

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