Matlab for Forecasting of Electric Power Load Based on BP Neural Network

被引:0
作者
Wang, Xi-ping [1 ]
Shi, Ming-xi [1 ]
机构
[1] N China Elect Power Univ, Dept Econ & Management, Baoding 071003, Peoples R China
来源
INTELLIGENT COMPUTING AND INFORMATION SCIENCE, PT I | 2011年 / 134卷 / 0I期
关键词
Electric power load; Matlab; BP neural network; forecast;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Modeling and predicting electricity consumption play a vital role both in developed and developing countries for policy makers and related organizations. Improve load forecasting technology level is not only beneficial to plan power management and make reasonable construction plan, but also good for saving energy and reducing power cost, and then, it can improve the economic benefits and social benefit for power system. BP neural network is one of the most widely used neural networks and it has many advantages in the power load forecasting. Matlab has become the best technology application software which has been internationally recognized, the software has many characteristics, such as data visualization function and neural network toolbox, for these, it is the essential software when we do some research on neural network.
引用
收藏
页码:636 / 642
页数:7
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