Assessment of monthly solar radiation estimates using support vector machines and air temperatures

International Journal of Climatology

Volumn 32, Issue 2, 2012, Pages 274-285

  Wu, Wei ^a   Liu, Hong Bin ^a  

^a SOUTHWEST UNIVERSITY   (China)

Author keywords

Climatic region; Data driven; Machine learning; Support vector machine

Indexed keywords

ACCURATE ESTIMATION; AIR TEMPERATURE; CLIMATIC REGIONS; COLD WINTER; CRITICAL VARIABLES; DATA-DRIVEN; DEVELOPED MODEL; DYNAMIC NATURE; MACHINE-LEARNING; MEAN AIR TEMPERATURES; METEOROLOGICAL STATION; METEOROLOGICAL VARIABLES; NASH-SUTCLIFFE COEFFICIENT; REGIONAL SCALE; RESIDUAL MASS; ROOT MEAN SQUARED ERRORS; SICHUAN BASIN; SUPPORT VECTOR; SVM MODEL; YANGTZE RIVER;

AGRICULTURAL MACHINERY; ATMOSPHERIC TEMPERATURE; ESTIMATION; LEARNING ALGORITHMS; PARAMETER ESTIMATION; SOLAR RADIATION; SUN;

SUPPORT VECTOR MACHINES;

ACCURACY ASSESSMENT; AIR TEMPERATURE; ESTIMATION METHOD; PARAMETERIZATION; PERFORMANCE ASSESSMENT; PREDICTION; SOLAR RADIATION; TEMPORAL VARIATION;

CHINA; SICHUAN BASIN; YANGTZE BASIN;

EID: 84862962251     PISSN: 08998418     EISSN: 10970088     Source Type: Journal    
DOI: 10.1002/joc.2267     Document Type: Article

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