基于XGBoost扩展金融因子的风电功率预测方法

王永生,关世杰,刘利民,高静,许志伟,刘广文

Wind power prediction method based on XGBoost extended financial factor

Yong-sheng WANG,Shi-jie GUAN,Li-min LIU,Jing GAO,Zhi-wei XU,Guang-wen LIU

表 1 基于XGBoost拓展金融因子的风电功率预测方法在中国内蒙古某风电场数据集上的实验结果

Tab.1 Experimental results of wind power prediction method based on XGBoost extended financial factor on wind farm data set in Inner Mongolia, China

组别 MAE MSE RMSE AR/% ${ {{R} }^{\text{2} } }$ t1/s 注：数据来源于参考文献[22]. 1 2.394 20.563 4.535 87.62 0.836 0.968 2 1.285 9.072 3.012 93.23 0.926 2.173 3 1.086 5.904 2.430 94.36 0.954 2.235 4 0.959 5.716 2.390 94.89 0.954 2.193 5 1.070 5.475 2.339 94.40 0.956 2.259 6 0.932 5.154 2.270 95.24 0.959 3.325 7 0.969 5.183 2.276 94.99 0.960 2.985 8* 1.390 11.700 3.400 - 0.930 >1500