基于二维SVM的风力发电功率初步预测网络模型

The Network Model for the First-step Test on the Wind Electricity Prediction Based on Single Binary SVM

二维SVM分类器只能解决简单的分类问题,本文在此基础上构建网络模型,实现发电功率数值的初步预测。并且使得预测误差缩小至0.05,提高了预测的精度。

Single binary SVM classifier can only solve the simple categorization task. So we build a network model on this and give a first-step test on the wind electricity prediction. Finally, we let the error go down to 0.05 and increase the accuracy.