This article presents a review of current advances and prospects in the field of forecasting
renewable energy generation using machine learning (ML) and deep learning (DL) …

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

In this study, monthly solar radiation (SR) estimation was performed using five different
machine learning-based approaches. The models used are support vector machine …

After decades of evolution and improvements, Artificial Intelligence (AI) is now taking root in
our daily lives, and is starting to profoundly influence the fields of architecture and …

The existence of sunlight, air and other resources on earth must be used in an appropriate
way for human welfare while still protecting the environment and its living creatures. The …

Solar photovoltaic technology is one of the most important resources of renewable energy.
However, the current solar photovoltaic systems have significant drawbacks, such as high …

Solar radiation data plays an important role in solar energy research. These data are not
available for location of interest due to absence of a meteorological station. Therefore, the …

The generation of energy from renewable sources is subjected to very dynamic changes in
environmental parameters and asset operating conditions. This is a very relevant issue to be …

This paper evaluates the accuracy of Support Vector Machine (SVM), Artificial Neural
Network (ANN) and empirical solar radiation models with different combination of input …

Solar radiation data is critical to the design and operation of solar energy utilization systems,
so a large number of models have been proposed and developed to estimate solar radiation …