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In this paper, a new combined model coupling the linear autoregressive moving average (ARMA) model and the nonlinear artificial neural network (ANN) model has been proposed in order to estimate the daily global solar radiation. The main feature of this approach lies in the fact that has the strength to capture the advantages containing in both models. The combined method have been developed and tested...
This paper presents a solar radiation forecasting method using nonlinear autoregressive neural networks (NAR). NAR predicts a clearness index that is used to forecast global solar radiations. The NAR model is based on the feed forward multilayer perception model with two inputs and one output. Data of three years (2012-2014) of global solar radiation time-series for Ghardaïa site (desert area), south...
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