Abstract
Artificial Neural Network Methods are discussed for estimating solar
radiation by first estimating the clearness index. Radial Basis Functions,
RBF, and Multilayer Perceptron, MLP, models have been investigated
using long-term data from eight stations in Oman. It is shown that
both the RBF and MLP models performed well based on the root-mean-square
error between the observed and estimated solar radiations. However,
the RBF models are preferred since they require less computing power.
The RBF model, obtained by training with data from the meteorological
stations at Masirah, Salalah, Seeb, Sur, Fahud and Sohar, and testing
with those from Buraimi and Marmul, was the best. This model can
be used to estimate the solar radiation at any location in Oman.
Users
Please
log in to take part in the discussion (add own reviews or comments).