Various forms of machine learning (ML) methods have historically played a valuable role in
environmental remote sensing research. With an increasing amount of “big data” from earth …

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 …

The rapid variation of clouds is the main factor that causes the fluctuation of photovoltaic
power. 1 The satellite images contain plenty of information about clouds, applicable for …

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

Photovoltaic (PV) is one of the most promising renewable energy sources. To ensure secure
operation and economic integration of PV in smart grids, accurate forecasting of PV power is …

The demand for energy generation from solar energy resource has been exponentially
increasing in recent years. It is integral for a grid operator to maintain the balance between …

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 …

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

Due to the challenge of climate and energy crisis, renewable energy generation including
solar generation has experienced significant growth. Increasingly high penetration level of …

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 …