This paper presents an innovative hybrid approach for the estimation of the solar global
radiation. New prediction equations were developed for the global radiation using an …

In this article, the linear genetic programming (LGP) is utilized to predict the solar global
radiation. The solar radiation is formulated in terms of several climatological and …

A major factor for an efficient design of solar energy systems is to provide accurate
estimations of the solar radiation. Many of the existing studies are focused on the analysis of …

In this paper, a nonlinear symbolic regression technique using an evolutionary algorithm
known as multi-gene genetic programming (MGGP) is applied for a data-driven modelling …

In recent years, the share of renewable energy sources in current energy production has
been increasing due to the depletion of fossil fuel resources, increasing energy needs and …

Accurate prediction of solar radiation is essential for optimal design of solar systems. This
paper presents an innovative artificial intelligence approach for the determination of the …

There are several variables that influence the global solar radiation (GSR) prediction; thus,
determining the most significant parameters is an important task to achieve accurate …

The main objective of this paper is to determine the best models for estimating the global
solar radiation (GSR) on a horizontal surface over Egypt. A model selection criterion is used …

It is important to have accurate knowledge on global solar radiation for optimum design of
solar energy conversion systems. However, global solar radiation measurement is very rare …

The availability of reasonably accurate global solar radiation data is vital for the success of
any solar project. However, only a few meteorological stations around the world capture …