Comparison of artificial intelligence methods and empirical equations to estimate daily solar radiation

Journal of Atmospheric and Solar-Terrestrial Physics

Volumn 146, Issue , 2016, Pages 215-227

  Mehdizadeh, Saeid ^a   Behmanesh, Javad ^a   Khalili, Keivan ^a  

^a URMIA UNIVERSITY   (Iran)

Author keywords

Adaptive Neuro Fuzzy Inference System; Artificial Neural Networks; Empirical equations; Gene Expression Programming; Solar radiation

Indexed keywords

ARTIFICIAL INTELLIGENCE; ATMOSPHERIC HUMIDITY; ATMOSPHERIC TEMPERATURE; ERRORS; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; GENE EXPRESSION; GENES; MEAN SQUARE ERROR; NEURAL NETWORKS; SOLAR RADIATION; TRACKING (POSITION);

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ARTIFICIAL INTELLIGENCE METHODS; DAILY SOLAR RADIATIONS; DETERMINATION COEFFICIENTS; EMPIRICAL EQUATIONS; GENE EXPRESSION PROGRAMMING; METEOROLOGICAL PARAMETERS; ROOT MEAN SQUARE ERRORS;

FUZZY INFERENCE;

EID: 84976299703     PISSN: 13646826     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jastp.2016.06.006     Document Type: Article

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