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 …

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 …

Accurate short-term solar irradiance forecasting is crucial for ensuring the optimum
utilization of photovoltaic power generation sources. This study addresses this issue by …

As a kind of clean energy, solar energy occupies a pivotal position in energy applications.
Accurate and reliable solar radiation prediction is critical to the application of solar energy. In …

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 …

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 …

The number of existing global solar radiation (GSR) observation stations is limited, and it is
challenging to meet the demand for scientific research and production. Different forecasting …

Power generation from renewable energy resources is on the increase in most countries,
and this trend is expected to continue in the foreseeable future. In an effort to enhance the …

Among the different forms of clean energies, solar energy has attracted a lot of attention
because it is not only sustainable, but also is renewable and this means that we will never …

We forecast high-resolution solar irradiance time series using an exponential smoothing
state space (ESSS) model. To stationarize the irradiance data before applying linear time …