Adaptive patch-Gumbel filtering for long-horizon wind power forecasting

Key Points

• Enhanced accuracy in long-horizon wind power forecasting is achieved with adaptive filtering techniques.
• The Gumbel distribution is effectively utilized to model extreme wind events for better predictions.
• This analysis employs statistical methods to refine forecast reliability over extended time frames.
• Results may support better energy management in renewable sources, addressing grid stability and planning.