After decades of evolution and improvements, Artificial Intelligence (AI) is now taking root in
our daily lives, and is starting to profoundly influence the fields of architecture and …

With increasing awareness towards environmental concern, efforts are made to reduce
harmful effects of conventional electricity generation methods and uses of renewable …

Forecasting of solar irradiance is in general significant for planning the operations of power
plants which convert renewable energies into electricity. In particular, the possibility to …

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 solar radiation is a critical metric for design and optimal operation of the solar energy
system. Most of the locations available solar radiation records are not available due to high …

Solar radiation models for predicting the average daily and hourly global radiation, beam
radiation and diffuse radiation are reviewed in this paper. Seven models using the Ångström …

Solar radiation (SR) is an important data for various applications such as climate, energy
and engineering. Because of this, determination and estimation of temporal and spatial …

The main objective of present study is to predict daily global solar radiation (GSR) on a
horizontal surface, based on meteorological variables, using different artificial neural …

In recent years, focus has been on environmental pollution issue resulting from consumption
of fossil fuels, eg, coal and oil. Thus, introduction of an alternative energy source such as …

Prior knowledge of solar radiation in situ is very important, for better management, sizing
and control of solar energy installations. In this paper, an application of a support vector …