Improved hybrid models for multi-step wind speed forecasting

To mitigate global warming by reducing emissions, wind is widely expected to become an alternative source of energy. Wind power generation uses the surface atmosphere, where movement blows the wind turbine to generate the power output. However, due to the turbulence in the near-surface layer, wind speeds show strong variation and disturbance characteristics, which creates instability for wind power generation. This in turn seriously threatens the security of the power grid system. Therefore, to ensure the safety and stability of the power grid, reliable predictions of wind speed and power generation at the local scale for wind farms are essential.