The accurate power generation forecast of multiple renewable energy sources is significant
for the power scheduling of renewable energy systems. However, previous studies focused …

The recent global warming effect has brought into focus different solutions for combating
climate change. The generation of climate-friendly renewable energy alternatives has been …

To mitigate the impact of climate change and global warming, the use of renewable energies
is increasing day by day significantly. A considerable amount of electricity is generated from …

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 …

Three methods, smart persistence, artificial neural network and random forest, are compared
to forecast the three components of solar irradiation (global horizontal, beam normal and …

The static, clean and movement free characteristics of solar energy along with its
contribution towards global warming mitigation, enhanced stability and increased efficiency …

An overview of numerical and mathematical modelling-based distributed generation (DG)
system optimisation techniques is presented in this review paper. The objective is to …

Due to the intermittency and randomness of solar photovoltaic (PV) power, it is difficult for
system operators to dispatch PV power stations. In order to find a precise expectation for day …

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 …

Solar and wind generated power is expected to increase drastically in the future. Unlike
fossil fuels, however, solar and wind resource extraction introduces challenges of variability …