2026-05-07T17:29:33Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/85832024-02-06T01:05:26Zcom_10259_3847com_10259_5086com_10259_2604col_10259_3848
Sedano, Javier
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Curiel Herrera, Leticia Elena
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Corchado, Emilio
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0000-0001-8560-3991
Cal, Enrique de la
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Villar, José Ramón
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2024-02-05T12:26:36Z
2024-02-05T12:26:36Z
2010-04
1069-2509
http://hdl.handle.net/10259/8583
10.3233/ICA-2010-0337
1875-8835
The detection of thermal insulation failures in buildings in operation responds to the challenge of improving building energy efficiency. This multidisciplinary study presents a novel four-step soft computing knowledge identification model called IKBIS to perform thermal insulation failure detection. It proposes the use of Exploratory Projection Pursuit methods to study the relation between input and output variables and data dimensionality reduction. It also applies system identification theory and neural networks for modeling the thermal dynamics of the building. Finally, the novel model is used to predict dynamic thermal biases, and two real cases of study as part of its empirical validation.
This research has been partially supported through projects of the Juna of Castilla y León (JCyL): [BU006A08] and Business intelligent for production, Technological Institute of Castilla y León (ITCL) and investment and services agency (ADE), project of the Spanish Ministry of Education and Innovation [CIT-020000-2008-2] and project of Spanish Ministry of Science and Technology [TIN2008-06681-C06-04].
application/pdf
eng
IOS Press
Integrated Computer-Aided Engineering. 2010, V. 17, n. 2, p. 103-115
https://content.iospress.com/articles/integrated-computer-aided-engineering/ica00337
Informática
Computer science
A soft computing method for detecting lifetime building thermal insulation failures
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/closedAccess
Integrated Computer-Aided Engineering
17
2
103
115
THUMBNAIL
Sedano-icae_2010.pdf.jpg
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LICENSE
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license.txt
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ORIGINAL
Sedano-icae_2010.pdf
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Archivo cerrado
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10259/8583
oai:riubu.ubu.es:10259/8583
2024-02-06 02:05:26.722
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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