A prediction model based on neural networks for the energy consumption of a bioclimatic building
- Author
- MENA, R1 ; RODRIGUEZ, F1 ; CASTILLA, M1 ; ARAHAL, M. R2
[1] University of Almería, Agrifood Campus of International Excellence, ceiA3, CIESOL, Joint Center University of Almería - CIEMAT, Spain
[2] University of Sevilla, Dpto. Ingeniería de Sistemas y Automática, Escuela Técnica Superior de Ingeniería, Spain - Source
Energy and buildings. 2014, Vol 82, pp 142-155, 14 p ; ref : 55 ref
- CODEN
- ENEBDR
- ISSN
- 0378-7788
- Scientific domain
- Energy; Civil engineering
- Publisher
- Elsevier, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Electric demand prediction Neural networks Prediction model System identification
- Keyword (fr)
- Bâtiment bioclimatique Consommation énergie Demande énergie Identification système Modèle prévision Modélisation Méthode analytique Réseau neuronal Résultat expérimental
- Keyword (en)
- Bioclimatic building Energy consumption Energy demand System identification Forecast model Modeling Analytical method Neural network Experimental result
- Keyword (es)
- Edificio bioclimático Consumo energía Demanda energía Identificación sistema Modelo previsión Modelización Método analítico Red neuronal Resultado experimental
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D14 Buildings. Public works / 001D14C Structural analysis. Stresses / 001D14C03 Computation methods. Tables. Charts
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D14 Buildings. Public works / 001D14I Buildings / 001D14I02 Building technical equipments / 001D14I02B Environmental engineering / 001D14I02B1 Energy management and energy conservation in building
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D14 Buildings. Public works / 001D14I Buildings / 001D14I04 Types of buildings / 001D14I04A Bioclimatic building
- Discipline
- Building. Public works. Transport. Civil engineering
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28843475
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.enbuild.2014.06.052 
https://dx.doi.org/10.1016/j.enbuild.2014.06.052
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