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) …

The use of renewable energy to reduce the effects of climate change and global warming
has become an increasing trend. In order to improve the prediction ability of renewable …

Nowadays, various wind power forecasting methods have been developed to improve wind
power utilization. Most of these techniques are designed based on the mean square error …

Wind power is a clean resource that is widely used as a renewable energy source. Accurate
wind power forecasting is important for the efficient and stable use of wind energy. The …

Accurate and reliable wind power forecasting has become very important to power system
scheduling and safely stable operating. In this paper, a novel self-attention temporal …

Globally, wind energy is growing rapidly and has received huge consideration to fulfill global
energy requirements. An accurate wind power forecasting is crucial to achieve a stable and …

Accurate wind power predictions (WPPs) are highly significant to the safety, stability, and
economic operation of power systems. The reported encoder-–decoder architectures have …

With the development of emerging technology, wind power forecasting hybrid with artificial
intelligence methods has become a research hotspot. Most of these methods are based on …

With large-scale wind power connected to the power grid, accurate short-term wind power
forecasting has become a key technology for safe, economic power grid operation …

To mitigate uncertainties in wind resource assessments and to improve the estimation of
energy production of a wind project, this work uses a decision tree machine learning model …