| 一种整合多种计算方法的短期负荷预测模型 |
| |
| 引用本文： | 宋云,陈焕文,张晓华.一种整合多种计算方法的短期负荷预测模型[J].计算机工程与应用,2007,43(3):185-188. |
| |
| 作者姓名： | 宋云 陈焕文 张晓华 |
| |
| 作者单位： | 1. 长沙理工大学,计算机与通信工程学院,长沙,410077
2. 江西省电力公司,南昌,330000 |
| |
| 摘 要： | 介绍了一种整合神经网络、专家系统和动态聚类多种智能方法为一体的短期／超短期预测模型，综合考虑了气象、节假日等负荷影响因素。
|
| 关 键 词： | 负荷预测 神经网络 专家系统 动态聚类 |
| 文章编号： | 1002-8331（2007）03-0185-04 |
| 修稿时间： | 2006-09 |
Short term electric load forecasting model integrating multi intelligent computing approach |
| |
| SONG Yun,CHEN Huan-wen,ZHANG Xiao-hua.Short term electric load forecasting model integrating multi intelligent computing approach[J].Computer Engineering and Applications,2007,43(3):185-188. |
| |
| Authors: | SONG Yun CHEN Huan-wen ZHANG Xiao-hua |
| |
| Affiliation: | SONG Yun,CHEN Huan-wen,ZHANG Xiao-hua(1.College of Computer ＆ Communication Engineering,Changsha University of Science ＆ Technology,Changsha 410077,China; 2.Jiangxi Electronic Power Company,Nanchang 330000,China) |
| |
| Abstract: | A model for short term and super short term forecasting integrating neural network,expert system and dynamic clustering is introduced here,which involves weather,festival and other load forecasting affecting factors. |
| |
| Keywords: | load forecasting neural network expert system dynamic clustering |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
