The increase of the worldwide installed photovoltaic (PV) capacity and the intermittent
nature of the solar resource highlights the importance of power forecasting for the grid …

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 …

Accurately forecasting solar plants production is critical for balancing supply and demand
and for scheduling distribution networks operation in the context of inclusive smart cities and …

Renewable energy forecasting is crucial for integrating variable energy sources into the grid.
It allows power systems to address the intermittency of the energy supply at different …

In recent years, the penetration of photovoltaic (PV) generation in the energy mix of several
countries has significantly increased thanks to policies favoring development of renewables …

The penetration of renewable energies has increased during the last decades since it has
become an effective solution to the world's energy challenges. Among all renewable energy …

Cloud cover and cloud motion have a large impact on solar irradiance. One of the effective
ways for direct normal irradiance (DNI) prediction is to use cloud features, which has been …

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 …

Separating global horizontal irradiance measurements into direct and diffuse components
has been vigorously discussed over the past half-century of solar radiation research leading …

Forecasting solar energy from cloud cover observations is crucial to truly anticipate future
changes in power supply. On an intra-hour timescale, ground-level sky cameras located …