| 人工神经网络在上海电力负荷预测中的应用 |
| |
| 引用本文： | 张国忠,黄晓明,刘亚,熊伟. 人工神经网络在上海电力负荷预测中的应用[J]. 华东电力, 2002, 30(2): 7-9 |
| |
| 作者姓名： | 张国忠 黄晓明 刘亚 熊伟 |
| |
| 作者单位： | 武汉大学动力与机械学院，湖北 武汉 430072 |
| |
| 摘 要： | 分析了上海市电力月峰值负荷时间序列的特点 ,选择趋势分量和周期分量作为神经网络的输入变量 ,给出 BP神经网络辨识预测此类系统的一般方法和具体步骤。从预测的结果可以看出 ,人工神经网络辨识和预测具有趋势性及周期性波动时间序列的有效性。
|
| 关 键 词： | 人工神经网络 电力负荷 趋势分量 周期分量 |
| 文章编号： | 1001-9529(2002)02-0007-03 |
| 修稿时间： | 2001-12-24 |
Artificial Neural Net for Power Load Prediction in Shanghai Power Grid |
| |
| Zhang Guozhong,Huang Xiaoming,Liu Ya,Xiong Wei. Artificial Neural Net for Power Load Prediction in Shanghai Power Grid[J]. East China Electric Power, 2002, 30(2): 7-9 |
| |
| Authors: | Zhang Guozhong Huang Xiaoming Liu Ya Xiong Wei |
| |
| Affiliation: | Power and Mechanic College of Wuhan Uni. Wuhan 430072 |
| |
| Abstract: | The characteristics of time sequence of the monthly peak load va1ue in Shanghai has been analysed and then the trend component and periodic component are choiced for the input variable of the BPneural net and the common method and steps for power load identification and prediction using methematical model established by BP algorithm are described. The predicted results show that the predictionand identification of the artificial neural net has the effectiveness of trending and periodic surge of timesequence. |
| |
| Keywords: | artificial neural net power load trend component periodic component |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
