The existence of sunlight, air and other resources on earth must be used in an appropriate
way for human welfare while still protecting the environment and its living creatures. The …

Solar radiation data plays an important role in solar energy research. These data are not
available for location of interest due to absence of a meteorological station. Therefore, the …

Artificial intelligence (AI) techniques are becoming useful as alternate approaches to
conventional techniques or as components of integrated systems. They have been used to …

The increasing use of solar power as a source of electricity has led to increased interest in
forecasting radiation over short time horizons. The relevant horizons for generation and …

Solar radiation data provide information on how much of the sun's energy strikes a surface at
a location on the earth during a particular time period. These data are needed for effective …

The prediction of solar radiation is important for several applications in renewable energy
research. Solar radiation is predicted by a number of solar radiation models both …

Solar irradiance forecasting can reduce the uncertainty of solar power plant output caused
by solar irradiance intermittency. Concentrated solar thermal (CST) plants generate …

An artificial neural network (ANN) model was used to estimate the solar radiation
parameters for seven cities from Mediterranean region of Anatolia in Turkey. As well known …

In this study new technique Rapid Miner is used for relevant input variable selection for
prediction of solar radiation using different ANN techniques. The prediction accuracy of ANN …

Artificial Intelligence (AI) has been used and applied in different sectors, such as
engineering, economic, medicine, military, marine, etc. AI has also been applied for …