Horizontal global solar radiation estimation using hybrid SVM-firefly and SVM-wavelet algorithms: a case study

摘要: Nowadays, investigations are being performed to identify proper approaches for prediction of solar radiation in the absence measured data. In this context, application hybrid techniques has attracted many attentions since it offers some advantages by utilizing specific nature each technique achieve more preciseness. This study aims at assessing suitability two predict monthly mean daily horizontal global radiation. For aim, integrating support vector machine (SVM) with firefly algorithm (FFA) and wavelet transform (WT) named, respectively, SVM-FFA SVM-WT developed. Then different models established considering meteorological parameters: (1) relative sunshine duration (2) duration, air temperature difference, average humidity. The results indicate that hybridizing SVM FFA WT algorithms would be promising as both show higher performance than single SVM. Also, model approach provides accuracy. Furthermore, statistical reveal superiority over terms predictions