GLOBAL SOLAR RADIATION PREDICTION MODEL WITH RANDOM FOREST ALGORITHM

被引：6
|
作者：
Kor, Hakan [1 ]
机构：
[1] Hitit Univ, Fac Engn, Dept Comp Engn, Corum, Turkey
来源：
THERMAL SCIENCE | 2021年 / 25卷 / 25期
关键词：
random forest; solar radiation; prediction model; METEOROLOGICAL DATA;
D O I：
10.2298/TSCI200608004K
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
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 signcant 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%.
引用
收藏
页码：S31 / S39
页数：9
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