On the use of niching genetic algorithms for variable selection in solar radiation estimation

Renewable Energy

Volumn 50, Issue , 2013, Pages 168-176

  Will, A ^a,d   Bustos, J ^a,d   Bocco, M ^b   Gotay, J ^a,d   Lamelas, C ^c  

^a UNIVERSIDAD NACIONAL DE TUCUMÁN   (Argentina)

^b UNIVERSIDAD NACIONAL DE CÓRDOBA   (Argentina)

^c Estacion Experimental Agroindustrial Obispo Colombres   (Argentina)

^d FRT   (Argentina)

Author keywords

Meteorology; Niching genetic algorithms; Solar radiation; Variables selection

Indexed keywords

ARGENTINA; CLIMATIC VARIABLES; DAILY GLOBAL SOLAR RADIATION; INPUT VARIABLES; MISSING DATA; NICHING GENETIC ALGORITHM; PREDICTION PROBLEM; RENEWABLE ENERGIES; SELECTION OF VARIABLES; SOLAR RADIATION ESTIMATION; VARIABLE SELECTION; VARIABLES SELECTION; WEATHER STATIONS;

ESTIMATION; GENETIC ALGORITHMS; METEOROLOGY; SOLAR RADIATION;

SUN;

CLIMATE VARIATION; DATABASE; ESTIMATION METHOD; GENETIC ALGORITHM; LINEARITY; METEOROLOGY; PREDICTION; RENEWABLE RESOURCE; SOLAR RADIATION; WIND VELOCITY;

ARGENTINA;

EID: 84864067392     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2012.06.039     Document Type: Article

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