The higher penetration of renewable resources in the energy portfolios of several
communities accentuates the need for accurate forecasting of variable resources (solar …

Renewable energy forecasting is crucial for integrating variable energy sources into the grid.
It allows power systems to address the intermittency of the energy supply at different …

As the world looks for low-carbon sources of energy, solar power stands out as the single
most abundant energy resource on Earth. Harnessing this energy is the challenge for this …

The need for reduction in CO 2 emissions to mitigate global warming has resulted in
increasing use of renewable energy sources. In urban areas, solar photovoltaic (PV) …

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

This article presents the method Heliosat-2 that converts observations made by
geostationary meteorological satellites into estimates of the global irradiation at ground …

A new fast clear-sky model called McClear was developed to estimate the downwelling
shortwave direct and global irradiances received at ground level under clear skies. It is a …

Photovoltaic (PV) panels are a very promising technology that answers part of the increasing
need for global renewable energy production, particularly in urban areas. We present a …

The Solis clear sky model is a new scheme based on radiative transfer calculations and the
Lambert–Beer relation. When used on large geographical scale to convert meteorological …

This study explores the possibility of developing a prediction model using artificial neural
networks (ANN), which could be used to estimate monthly average daily global solar …