Estimation of Global Solar Radiation Using Artificial Neural Networks
Renewable Energy, (1998)Abstract
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.