首页 | 官方网站   微博 | 高级检索  
     

蚁群神经网络在短期负荷预测的应用
引用本文:王晶,刘博,冯艳红.蚁群神经网络在短期负荷预测的应用[J].计算机工程与设计,2008,29(7):1797-1800.
作者姓名:王晶  刘博  冯艳红
作者单位:1. 中央司法警官学院信息管理系,河北保定,071000
2. 河北农业大学信息科学与技术学院,河北保定,071000
3. 石家庄经济信息工程学院,河北石家庄,050000
摘    要:为了进一步提高BP神经网络的性能,实现准确、快速预测电力系统负荷的目的,将蚁群算法(ACA)作为BP神经网络的学习算法,建立了一种新的蚁群神经网络(AcAN)预测模型.对某电力系统短期负荷预测的计算实例表明,基于蚁群神经网络的负荷预测方法与传统的BP神经网络预测方法相比,具有较强的自适应能力和较好的效果.

关 键 词:蚁群算法  神经网络  短期负荷预测  随机搜索  隐层
文章编号:1000-7024(2008)07-1797-03
修稿时间:2007年5月21日

Application of ant colony neural network for short-term load forecasting of power system
WANG Jing,LIU Bo,FENG Yan-hong.Application of ant colony neural network for short-term load forecasting of power system[J].Computer Engineering and Design,2008,29(7):1797-1800.
Authors:WANG Jing  LIU Bo  FENG Yan-hong
Affiliation:WANG Jing1,LIU Bo2,FENG Yan-hong3(1.Department of Information Management,Central Institute for Correctional Police,Baoding 071000,China,2.College of Information Science , Technology,Agricultural University of Hebei,3.Shijiazhuang University of Economics,Shijiazhuang 050000,China)
Abstract:In order to improve capacity of BP neural networks and make short term load forecasting more accurate and fast,a kind of ant colony algorithm neural networks forecasting model is established by using the ant colony algorithm to train the BP neural networks.The ant colony algorithm is used to optimize the feed-forward neural networks in the design of this kind of neural networks.The results of an example of short term power system load forecasting show the better adaptive ability and forecasting effect of th...
Keywords:ant colony algorithm  neural network  short-term load forecasting  hidden layer  random search  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号