Global solar radiation prediction model with random forest algorithm

Global solar radiation estimation is crucial for regional climate assessment and crop growth. Therefore, studies on the prediction of are emerging. With availability public data radiation, computerized models have been developed as well. These predictive play significant role in determining potentials regions suitable renewable energy generation required by engineering agricultural activities. Herein a model has presented estimating global radiation. The utilizes random forest algorithm reached value 93.9%.