节点文献
基于改进新陈代谢GM(1,1)模型的短期风速预测算法
Short-Term Wind Speed Prediction Algorithm based on the Improve Metabolic GM( 1,1) Model
【摘要】 基于新陈代谢GM(1,1)模型,提出了改进的新陈代谢GM(1,1)模型,其主体思路即尽可能用最新的信息代替陈旧的信息,在预测的精确度与预测的收敛性之间达到最佳的平衡.文中算例对基于GM(1,1)模型、新陈代谢GM(1,1)模型及改进的新陈代谢GM(1,1)模型的风速预测结果进行了仿真分析,预测结果证明了所提出方法的有效性.
【Abstract】 Based on metabolic GM( 1,1) model,an improved metabolic GM( 1,1) model is proposed which requires the substituting of new information for old one as far as possible,and a best balance between accuracy and astringency of prediction can be reached. The results of wind speed prediction based on the GM( 1,1)model,metabolic GM( 1,1) model and the improved metabolic GM( 1,1) model are simulated and analyzed,which proves the effectiveness of the new method.
【关键词】 风速预测;
灰色系统理论;
新陈代谢GM(1,1)模型;
误差分析;
【Key words】 wind speed forecasting; gray system theory; metabolic GM(1,1) model; error analysis;
【Key words】 wind speed forecasting; gray system theory; metabolic GM(1,1) model; error analysis;
【基金】 大连市科学技术基金资助项目(2011J2ldw007)
- 【文献出处】 大连交通大学学报 ,Journal of Dalian Jiaotong University , 编辑部邮箱 ,2015年S1期
- 【分类号】TM614
- 【下载频次】84