Daily global solar radiation prediction based on a hybrid Coral Reefs Optimization ― Extreme Learning Machine approach
- Author
- SALCEDO-SANZ, S1 ; CASANOVA-MATEO, C2 ; PASTOR-SANCHEZ, A1 ; SANCHEZ-GIRON, M1
[1] Department of Signal Processing and Communications, Universidad de Alcalá, Alcalá de Henares, Spain
[2] Department of Applied Physics, Universidad de Valladolid, Valladolid, Spain - Source
Solar energy. 2014, Vol 105, pp 91-98, 8 p ; ref : 1 p
- CODEN
- SRENA4
- ISSN
- 0038-092X
- Scientific domain
- Biotechnology; Energy
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Coral Reefs Optimization algorithm Daily global solar radiation prediction Extreme Learning Machines
- Keyword (fr)
- Algorithme Analyse régression Apprentissage Etude expérimentale Evaluation performance Machine vecteur support Optimisation Prévision Radiométrie Rayonnement global Rayonnement solaire Réseau neuronal Espagne Europe
- Keyword (en)
- Algorithm Regression analysis Learning Experimental study Performance evaluation Support vector machine Optimization Forecasting Radiometry Global radiation Solar radiation Neural network Spain Europe
- Keyword (es)
- Algoritmo Análisis regresión Aprendizaje Estudio experimental Evaluación prestación Máquina vector soporte Optimización Previsión Radiometría Radiación global Radiación solar Red neuronal España Europa
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06C Natural energy / 001D06C02 Solar energy / 001D06C02B Solar radiation
- Discipline
- Energy
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28547142
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.solener.2014.04.009 
https://dx.doi.org/10.1016/j.solener.2014.04.009
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