Spatio-temporal wind power forecasting is significant to the stability of electric power
systems. However, the accuracy of power forecasting results is easily impaired by the …

As a renewable and clean energy source, wind energy has caught worldwide attention. To
ensure the reliability and stability of wind energy production, wind speed forecasting is of …

Wind energy has attracted more and more attention due to its sustainability and pollution-
free nature. As wind energy is highly dependent on wind speed, wind speed forecasting is of …

The uncertainty and fluctuation are the major challenges casted by the large penetration of
wind power (WP). As one of the most important solutions for tackling these issues, accurate …

Wind power prediction is a challenging task due to the high variability and uncertainty of
wind generation and weather conditions. Accurate and timely wind power prediction is …

Wind energy has become a trend in Brazil, particularly in the northeastern region of the
country. Despite its advantages, wind power generation has been hindered by the high …

Spatio-temporal Forecasting has been implemented in diverse fields, such as energy, traffic,
and weather. As one typical paradigm of intelligent power systems, spatio-temporal wind …

The importance of renewable energy in our everyday lives cannot be overstated, specifically
highlighting solar and wind energies as two crucial sustainable power sources …

Wind energy, as a key link in renewable energy, has seen its penetration in the power grid
increase in recent years. In this context, accurate and reliable short-term wind power …

Wind power is a clean and renewable energy, yet it poses integration challenges to the grid
due to its variable nature. Thus, Wind Power Forecasting (WPF) is crucial for its successful …