The estimation of global solar radiation incident on the earth’s surface is an important issue for several solar-based applications. From a signal processing point of view, it falls within nonstationary, non-linear/non-Gaussian dynamical inverse problems. In this paper, we propose a sequential Monte Carlo state space approach combining satellite images and in situ data. We propose original obse...

Estimation of solar radiation is the most important parameter for various solar energy systems. Expensive devices are required to achieve the amount of solar radiation for a special region, therefore different models have been proposed by researchers to estimate the solar radiation that obviate using such devices. Nonlinear nature and excessive dependence on the meteorological parameters of the...

In order to provide an efficient conversion and utilization of solar power, solar radiation datashould be measured continuously and accurately over the long-term period. However, the measurement ofsolar radiation is not available to all countries in the world due to some technical and fiscal limitations. Hence,several studies were proposed in the literature to find mathematical and physical mod...

1. introduction the process by which the net radiation is transformed to the atmospheric dynamical energy, occur to a large degree at the interface between the surface and the atmosphere. as the driving force for such process, an accurate estimation of the net radiation at the earth’s surface is a necessary input for surface process models. net radiation is a key component in the surface radiat...

An information system, called HelioClim, is offered for answering the needs for long-term time-series of solar radiation data. These data originate from the processing of spaceborne observations made in the visible range by geostationnary satellites to derive solar radiation available at ground level. The recent method Heliosat 2 is used. It offers several improvements in operation and accuracy...

The magnitude and distribution of incoming shortwave solar radiation (SWY) has significant influence on the productive capacity of forest vegetation. Models that estimate forest productivity require accurate and spatially explicit radiation surfaces that resolve both longand short-term temporal climatic patterns and that account for topographic variability of the land surface. This paper presen...

The purpose of this article is to improve modeling of statistical properties of solar radiation models through the analysis of measurement data on the ground in the intertropical zone. For this, we identify, using information criteria, the probabilistic distributions introduced in two models of synthetic solar radiation generation. We then validate the results by using the KL divergence and KSI...

Abstract: The tilt angle with the horizon (with respect to the ground) of the solar energy system affects the amount of solar radiation received. This paper suggests a simple and universal method to obtain the optimum tilt angles by estimating the monthly mean daily global solar radiation on tilted surfaces facing directly towards the equator, which is based on monthly average daily global sola...

The temporal prediction of the solar radiation is very important for the operation of any solar energy system technology and completing data set. Based on meteorological parameters, the artificial neural network (ANN) can bring a technical solution for the prediction problems. In this paper, we developed an ANN for the south Tunisian climate to predict global solar radiation. Five years of reco...

Solar radiation at ground level is a necessary input for several applications such as primary production and agronomic related studies or potential solar energy assessments. The user needs consist generally in values of global daily or hourly irradiation with a spatial resolution of approximately 10 km. Relative errors (RMSE) of daily irradiation should be less than 20 %. Spatial coverage (cont...