Accurate estimation of global solar radiation (R s) is essential to the design and assessment
of solar energy utilization systems. Existing empirical and machine learning models for …

For the optimal design and selection of solar energy conversion systems, as well as for other
fields of interest, such as architecture, agriculture, hydrology and ecology, the knowledge of …

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 …

Empirical models, proposed to estimate solar radiation (Rs) in various areas, were site-
specific in essence. However, it is questionable when they are applied to other stations …

This paper presents a review of tilt angle and azimuth angles in solar energy applications.
The paper involves an overview of design parameter, applications, simulations and …

Solar energy plays a vital role in the field of sustainable energy by providing clean, efficient
and reliable alternative source of energy. Where, the output of solar energy systems is highly …

When a part of the power is generated by grid connected photovoltaic installations, an
effective global solar irradiation (GSI) forecasting tool becomes a must to ensure the quality …

The measured data of global and diffuse solar radiation on a horizontal surface, the number
of bright sunshine hours, mean daily ambient temperature, maximum and minimum ambient …

In the present study, feasibility of using solar energy in different regions of Iran is
investigated. For this purpose, maximum, minimum, and average values of annual horizontal …

The purpose of this study is to compare the different empirical models used for estimation of
solar radiation on tilted surface. For this, three isotropic and same number of anisotropic sky …