Global solar radiation information is the basis for many solar energy utilizations as well as
for economic and environmental considerations. However, because solar-radiation …

Solar photovoltaic plants are widely integrated into most countries worldwide. Due to the
ever-growing utilization of solar photovoltaic plants, either via grid-connection or stand …

Solar radiation components assessment is a highly required parameter for solar energy
applications. Due to the non-stationary behavior of solar radiation parameters and variety of …

Owing to integrating photovoltaic solar systems into power networks, accurate prediction of
solar irradiance plays an increasingly significant role in electric energy planning and …

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 …

In this paper, the accuracy of a hybrid machine learning technique for solar radiation
prediction based on some meteorological data is examined. For this aim, a novel method …

Daily observations of meteorological parameters, air temperature, air pressure, relative
humidity, water vapor pressure and sunshine duration hours observed at 12 stations in …

In order to mitigate energy crisis and to meet carbon-emission reduction targets, the use of
electrical energy produced by solar photovoltaic (PV) is inevitable. To meet the global …

Predicting the short-term power output of a photovoltaic panel is an important task for the
efficient management of smart grids. Short-term forecasting at the minute scale, also known …

In this paper, a new hybrid approach by combining the Support Vector Machine (SVM) with
Wavelet Transform (WT) algorithm is developed to predict horizontal global solar radiation …