Digital Twin-Based Wind Forecasting and Grid Integration for Clean Energy
As the capacity of wind generation is increasing, it is necessary to forecast and control methods that can cope with rapid weather variation but still ensure reliable operation of the grid. This work presents a digital twin-based framework that integrates turbine physics, real-time measurements, adaptive state estimati...