Estimation of global solar radiation using artificial neural networks

被引：249
|
作者：
Mohandes, M [1 ]
Rehman, S [1 ]
Halawani, TO [1 ]
机构：
[1] King Fahd Univ Petr & Minerals, Res Inst, Dhahran 31261, Saudi Arabia
来源：
RENEWABLE ENERGY | 1998年 / 14卷 / 1-4期
关键词：
artificial neural networks; global solar radiation; renewable energy;
D O I：
10.1016/S0960-1481(98)00065-2
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This paper introduces a neural network technique for the estimation of global solar radiation. There are 41 radiation data collection stations spread all over the kingdom of Saudi Arabia where the radiation data and sunshine duration information are being collected since 1971. The available data from 31 locations is used for training the neural networks and the data from the other 10 locations is used for testing. The testing data was not used in the modeling to give an indication of the performance of the system in unknown locations. Results indicate the viability of this approach for spatial modeling of solar radiation. (C) 1998 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：179 / 184
页数：6
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