Global solar radiation prediction
What is it about?
In this paper, the accuracy of a hybrid machine learning technique for solar radiation prediction based on some meteorological data is examined. For this aim, a novel method named as SVM-FFA is developed by hybridizing the Support Vector Machines (SVM) with Firefly Algorithm (FFA) to predict the monthly mean horizontal global solar radiation using three meteorological parameters.
The following have contributed to this page: Shahab shamshirband, Dr Lanre Olatomiwa, and Dr Shahaboddin Shamshirband