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 …

Solar photovoltaic technology is one of the most important resources of renewable energy.
However, the current solar photovoltaic systems have significant drawbacks, such as high …

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 …

This paper reviews state-of-the-art on wind speed/power forecasting and solar irradiance
forecasting with ensemble methods. The ensemble forecasting methods are grouped into …

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 main objective of this paper is to present Gaussian Process Regression (GPR) as a new
accurate soft computing model to predict daily and monthly solar radiation at Mashhad city …

This study presents a quantitative methodology for Floating Photovoltaic (FPV) power plant
site selection in Turkey using Geographical Information Systems (GIS) and fuzzy sets, which …

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 …

Predicting solar radiation in cities using the Artificial Neural Network model (ANN) is a
pioneering step in transforming future-oriented city planning using solar energy. This …