基于GA-LSSVM的短期风功率预测

GA-LSSVM based on short-term wind power prediction

结合LSSVM和GA的优点,提出了一种基于GA-LSSVM的风功率预测方法,利用预测误差作为GA优化的评价函数,通过反馈机制优化预测模型的参数,最终建立起参数最优的风功率预测模型。通过对实际数据的仿真,结果表明本文所提出的GA-LSSVM预测模型的有效性。

In this paper a method of wind power forecast based on GA and LSSVM is proposed, combining with their advantages. Through using the prediction error as the evaluation function of GA optimization a feedback mechanism optimizing the parameters of prediction model is formed, and finally the prediction model of wind power with optimal parameters was established. The simulation results of actual data indicate that the proposed forecast model is effective.