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 …

As the penetration of solar energy generation into power systems keeps rising, intra-hour
solar forecasting (IHSF) is becoming increasingly important for the secure and economical …

Accurate solar photovoltaic (PV) power forecasting is an essential tool for mitigating the
negative effects caused by the uncertainty of PV output power in systems with high …

A forecasting method for hourly-averaged, day-ahead power output (PO) from photovoltaic
(PV) power plants based on least-squares optimization of Numerical Weather Prediction …

With the increase in demand for energy, penetration of alternative sources of energy in the
power grid has increased. Photovoltaic (PV) energy is the most common and popular form of …

Short term electricity trading to balance generation and demand provides an economic
opportunity to integrate larger shares of variable renewable energy sources in the power …

The integration of solar thermal energy into the coal-fired power plant is a cost-effective
method to compensate for the solar energy intermittency. With the increasing penetration of …

A number of industrial applications, such as smart grids, power plant operation, hybrid
system management or energy trading, could benefit from improved short-term solar …

The ever-growing installation of solar power systems imposes severe challenges on the
operations of local and regional power grids due to the inherent intermittency and variability …

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 …