TY - JOUR TI - Global solar radiation prediction model with random forest algorithm AU - Kör Hakan JN - Thermal Science PY - 2021 VL - 25 IS - 101 SP - 31 EP - 39 PT - Article AB - Global solar radiation estimation is crucial for regional climate assessment and crop growth. Therefore, studies on the prediction of solar radiation are emerging. With the availability of the public data on solar radiation, computerized models have been developed as well. These predictive models play significant role in determining the potentials of regions suitable for renewable energy generation required by engineering and agricultural activities. Herein a computerized model has been presented for estimating global solar radiation. The model utilizes random forest algorithm and reached predictive value of 93.9%.