A novel nonlinear grey model with parameter estimation optimization and its application in wind power forecasting

Key Points

• The nonlinear grey model significantly enhances wind power forecasting accuracy compared to traditional models.
• A parameter estimation optimization method improves performance metrics by evaluating 250 different scenarios over two years.
• Assessment using a nonlinear grey model demonstrates its effectiveness in predicting wind power output fluctuations.
• This optimization may enable more reliable and efficient energy management systems, particularly in renewable energy sectors.