INFLUENCE OF GLOBAL SOLAR RADIATION TYPICAL DAYS ON FORECASTING MODELS ERROR

To sum up, the HHT analysis of decennial time series of daily means of measurements of the SSI from distinct BSRN stations has revealed the following: the presence of a high-

In the realm of time series forecasting, some authors (1), (2) proposed to combine the predictions of ARMA and NN models (hence giving a so-called hybrid model) in order to

Once the models are trained and applied to the testing set, we analyze the quality of the probabilistic forecasts using several qualitative and quantitative tools: reliability

Popular nonlinear techniques such as neural networks, and some rather new methods such as Gaussian Processes and support vector machines were evaluated against

the temperature dependence, EOS, 63, 331. Determination de la valeur absolue de I'absorption dans les bandes du Systeme de Schumann-Runge de I'oxygene

We have established a model for the coefficient of variation assuming a time scale

By making the energy balance, the solar contributions intervene in energy needs for either house heating or cooling, from where the ratio utilization factor of heat gain is

Solar energy occupies one of the most important places among the various possible alternative energy sources. An accurate knowledge of solar radiation distribution at a