GEV distribution-enhanced Fourier diffusion model for extreme value capture in day-ahead photovoltaic scenario generation

Key Points

• Extreme value capture improves prediction accuracy for photovoltaic energy generation scenarios, highlighting its significance in energy forecasting.
• Utilizing a GEV distribution approach, the model effectively manages extreme values in day-ahead photovoltaic generation predictions.
• Analysis of extreme values indicates that the Fourier diffusion model enhances performance in forecasting photovoltaic generation scenarios.
• The findings emphasize the importance of advanced modeling techniques in capturing extreme events related to renewable energy generation.