Application of Wavelet Neural Network in Power Load Forecasting

被引：3

作者：

Zhu, Min ^{[1
]}

Liu, Weidong ^{[2
]}

Hu, Wensong ^{[1
]}

机构：

[1] Nanchang Univ, Sch Software, Nanchang, Jiangxi, Peoples R China

[2] Nanchang Univ, Q&R Studio, Nanchang, Jiangxi, Peoples R China

来源：

ADVANCED MATERIALS SCIENCE AND TECHNOLOGY, PTS 1-2 | 2011年 / 181-182卷

关键词：

wavelet; neural network; power load; forecasting;

D O I：

10.4028/www.scientific.net/AMR.181-182.439

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents a power load prediction mathematic model based on wavelet neural network theory which is a new neural network model thrives from wavelet analysis theory. By applying wavelet analysis, this paper can analyze power load in any dimension and collect it effectively. At the end of this paper, the authors analyze the model parameters and discuss various factors deeply.

引用

页码：439 / +

页数：2