Design and Implementation of Wind Power Generation Prediction Model Based on Artificial Intelligence
With the increase of clean energy demand,accurate prediction of wind power generation becomes very important.This paper designs and implements a wind power generation forecasting model based on artificial intelligence.The model adopts multi-variable and multi-step prediction framework,and combines data preprocessing and feature engineering methods to effectively improve the prediction accuracy.The experimental results show that the proposed model is superior to the traditional methods in terms of root mean square error,average absolute error,average absolute percentage error and determination coefficient,especially in the condition of medium and high wind speed.The research results provide reliable technical support for wind farm management and power grid dispatching,which is of great significance to promote the sustainable development of wind power industry.
wind power generation forecastartificial intelligencemodel design
NETL
NSTL
万方数据
