张亚军;刘志刚;张大波;

• 1:西南交通大学电气化自动化研究所
• 2:西南交通大学电气化自动化研究所
• 3:西南交通大学电气化自动化研究所 四川省成都市610031
• 4:四川省成都市610031

摘要(Abstract)：

针对BP神经网络、RBF神经网络和小波神经网络应用于负荷预测时所遇到的问题,提出了一种基于各种神经网络的组合预测模型。该模型为单输出的3层神经网络,即将3种神经网络的预测结果作为神经网络的输入,将实际负荷值作为神经网络的输出,使训练后的网络具有预测能力。该模型能降低单个神经网络的预测风险,提高预测精度。仿真结果表明,所提出的组合预测模型的精度高于其中任一单一网络模型,也高于传统的线性组合预测模型。

关键词(KeyWords)： 组合负荷预测;BP神经网络;RBF神经网络;小波神经网络

Abstract:

Keywords:

基金项目(Foundation): 教育部霍英东青年教师基金资助项目(101060);; 四川省杰出青年基金项目(No.07JQ0075)

作者(Author): 张亚军;刘志刚;张大波;

Email:

DOI: 10.13335/j.1000-3673.pst.2006.21.005

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