基于BP网的区域年售电量增长率预测

广东工业大学学报 ›› 2005, Vol. 22 ›› Issue (2): 53-57.

基于BP网的区域年售电量增长率预测

广电集团佛山顺德供电分公司广东佛山528300；

出版日期:2005-06-01 发布日期:2005-06-01

Prediction of the Growth Rate of Energy Based on BP Neural Network

(Foshan Shunde Branch, Guangdong Guang-dian Power Grid Group Co.Ltd. Foshan 528300,China)

Online:2005-06-01 Published:2005-06-01

摘要/Abstract

摘要： 应用基于神经网络BP算法的人工神经网络系统理论,对顺德桂洲历年工业产值增长率和年售电量增长率进行统计分析,并利用神经网络模型对下一年的售电量增长率进行了预测.

关键词: 人工神经网络；售电量；增长率；预测；

Abstract: In this paper,the growth rate of energy in next year has been predicted by applying artificial neural network theory and Back-propagation based on neural network,on the basis of statistics and analysis of the growth rates of gross output value of industry and of energy in Gueizhou over the years.

Key words: artificial neural network； energy； growth rate； predict；

陈钊垣；. 基于BP网的区域年售电量增长率预测[J]. 广东工业大学学报, 2005, 22(2): 53-57.

CHEN　Zhao-yuan. Prediction of the Growth Rate of Energy Based on BP Neural Network[J]. Journal of Guangdong University of Technology, 2005, 22(2): 53-57.

参考文献

[1] 徐丽娜编著.神经网络控制[M]. 哈尔滨工业大学出版社, 1999

[2] 张乃尧,阎平凡编著.神经网络与模糊控制[M]. 清华大学出版社, 1998

[3] 焦李成著.神经网络系统理论[M]. 西安电子科技大学出版社, 1990

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