Solar photovoltaic (PV) power estimation is difficult due to intermittent meteorological
parameters. Thus, it is utmost important to predict solar PV power for proper operation and …

Given the wide applications of photovoltaic (PV) power generation, the volatility in
generation caused by solar radiation, which limits the capacity of the power grid, cannot be …

Accurate global solar radiation data are fundamental information for the allocation and
design of solar energy systems. The current study compared different machine learning and …

There are a lot of developing countries with inadequate meteorological stations to measure
solar radiation. This has been a major drawback for solar power applications in these …

The increasing global demand for solar energy is a good indicator that it is a viable
alternative to fossil energy. However, solar irradiance which is the principal component …

This article proposes a new hybrid least squares-support vector machine and artificial bee
colony algorithm (ABC-LS-SVM) for multi-hour ahead forecasting of global solar radiation …

Solar irradiance is fluctuating and intermittent in nature. In order to optimally harness solar
energy, this variability needs to be accounted for. Forecasting solar radiation proves to be …

Photovoltaic power generation depends significantly on solar radiation, which is variable
and unpredictable in nature. As a result, the production of electricity from photovoltaic power …

Accurate solar forecasting facilitates the integration of solar generation into the grid by
reducing the integration and operational costs associated with solar intermittencies. A novel …

To mitigate solar curtailment caused by large-scale development of photovoltaic (PV) power
generation, accurate forecasting of PV power generation is important. A hybrid forecasting …