Solar radiation estimation using artificial neural networks
ASS Dorvlo, JA Jervase, A Al-Lawati - Applied Energy, 2002 - Elsevier
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 …
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 …