The availability of reliable climatologic data is essential for multiple purposes in a wide set of
anthropic activities and operative sectors. Frequently direct measures present spatial and …

The right design and the high efficiency of solar energy systems require accurate information
on the availability of solar radiation. Due to the cost of purchase and maintenance of the …

Obtaining precise solar radiation data is the first stage in determining the availability of solar
energy. It is also regarded as one of the major inputs for a variety of solar applications. Due …

In this study, for determining the best-input scenarios of the used parameters in predicting
the Daily Global Solar Radiation (DGSR), a new approach based on Artificial Neural …

The precise estimation of solar radiation is of great importance in solar energy applications
with respect to installation and capacity. In estimate modelling on selected target locations …

The study focused on the use of Artificial Neural Networks (ANN) in short-term prediction of
Global Solar Irradiance (GSI). It introduces a new methodology based on observations made …

This paper presents an application of Artificial Neural Networks (ANNs) to predict daily solar
radiation. We look at the Multi-Layer Perceptron (MLP) network which is the most used of …

An artificial neural network (ANN) model is used to forecast the annual and monthly solar
irradiation in Morocco. Solar irradiation data are taken from the new Satellite Application …

Four variables (total cloud cover, skin temperature, total column water vapour and total
column ozone) from meteorological reanalysis were used to generate synthetic daily global …

This article presents an integrated artificial neural network (ANN) approach for predicting
solar global radiation by climatological variables. The integrated ANN trains and tests data …