Text mining is an emerging topic that advances the review of academic literature. This paper
presents a preliminary study on how to review solar irradiance and photovoltaic (PV) power …

China's recently announced directive on tackling climate change, namely, to reach carbon
peak by 2030 and to achieve carbon neutrality by 2060, has led to an unprecedented …

As the world looks for low-carbon sources of energy, solar power stands out as the single
most abundant energy resource on Earth. Harnessing this energy is the challenge for this …

Technology advancements have enabled the capture of Renewable Energy Sources (RES)
on a massive scale. Smart Grids (SGs) that combine conventional and RES are predicted as …

The accurate prediction of direct solar irradiance is essential in many solar energy
applications, particularly those relying on concentrating solar technologies. The present …

Solar surface radiation data of high quality is essential for the appropriate monitoring and
analysis of the Earth's radiation budget and the climate system. Further, they are crucial for …

Nowadays, utilizing solar energy for power production at high efficiency and in a cost-
effective status is a challenging issue for power plant engineers. This challenge would be …

Accurate estimations of clear-sky direct normal irradiance (DNIcs) and diffuse horizontal
irradiance (DIFcs) are crucial in solar resources assessment. This study examines 95 and 88 …

A detailed literature survey of the diverse applications in which the SMARTS spectral
radiation model has been involved during the last 25 years first provides an overview of the …

This study provides several models for accurately computing the annual optimum tilt angle
for fixed solar photovoltaic arrays or solar collectors, in any location of the world. The …