Wind Power Prediction Model

This MATLAB-based wind power prediction model and program provides a reliable method for forecasting wind turbine power output. The primary objective is to offer engineers and researchers in the wind energy industry a robust tool for better understanding wind resource utilization and optimizing wind farm design and operations. The implementation includes key MATLAB functions for data preprocessing, feature engineering, and machine learning algorithms (such as neural networks or regression models) that analyze historical wind speed, direction, and turbine performance data. Additionally, the program incorporates built-in data processing and visualization tools, enabling users to easily interpret and analyze wind energy data through interactive plots and statistical summaries. By sharing this model and program, we aim to contribute to the advancement of wind power generation technology and facilitate more efficient renewable energy integration.