Collaborative wind speed forecasting based on multi-strategy MVMD and RestrictedCrossformer

Key Points

• Wind speed forecasting accuracy improved significantly using the collaborative model approach, enhancing predictions overall.
• The most important metric indicated a 20% reduction in forecasting errors, showcasing the model's effectiveness in real-world scenarios.
• Employing a collaborative model using multi-strategy MVMD and Restricted Crossformer increased the precision of predictions while adapting to various datasets.
• This advanced forecasting model supports better energy management, but further validations are necessary for broader applications.