Direct solar radiation prediction based on soft-computing algorithms including novel predictive atmospheric variables

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8206 LNCS, Issue , 2013, Pages 318-325

  Salcedo Sanz, S ^a   Casanova Mateo, C ^b   Pastor Sanchez A ^a   Gallo Marazuela, D ^a   Labajo Salazar, A ^c   Portilla Figueras, A ^a  

^a UNIVERSITY OF ALCALÁ   (Spain)

^b UNIVERSITY OF VALLADOLID   (Spain)

^c Radiometric and Atmospheric Composition Networks Spanish Meteorogical State Agency (AEMET)   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURATE PREDICTION; ATMOSPHERIC INPUTS; ATMOSPHERIC VARIABLES; DIRECT SOLAR RADIATION; EXTREME LEARNING MACHINE; SOFTCOMPUTING TECHNIQUES; SOLAR RADIATION PREDICTIONS; SUPPORT VECTOR REGRESSION ALGORITHMS;

ALGORITHMS; ENGINEERING EDUCATION; SUN;

SOLAR RADIATION;

EID: 84890875753     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-41278-3_39     Document Type: Conference Paper

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