| Clustering Analysis for Time Feature of User Power Consumption Based on Structural Self-adaptation ANN |
| |
| 引用本文： | YUAN Zhong-jun,CHEN Gang. Clustering Analysis for Time Feature of User Power Consumption Based on Structural Self-adaptation ANN[J]. 保鲜与加工, 2007, 0(8): 44-48 |
| |
| 作者姓名： | YUAN Zhong-jun CHEN Gang |
| |
| 作者单位： | 1. Guanxi Occupational Technology College of Water Conservancy and Electric Power, Guanxi 530023, China; 2. Key Laboratory of High Voltage Engineering and Electrical New Technology, Ministry of Education, Electrical Engineering College of Chongqing Univ |
| |
| 摘 要： | In view of the important effect of clustering analysis in data mining, the clustering rules and its curve are studied to solve the problem of determining clustering number. A kind of self-adaptation clustering ANN is presented based on SOFM ANN, which can automatically determine the clustering number. Based on practical sales data, the time feature analysis of power user consumption are carried out by using the self-adaptation clustering ANN, whose conclusion has the important referenced values for adjusting power price correspondingly and arranging power producing reasonably.
|
| 修稿时间： | 2007-05-08 |
Clustering Analysis for Time Feature of User Power Consumption Based on Structural Self-adaptation ANN |
| |
| YUAN Zhong-jun,CHEN Gang. Clustering Analysis for Time Feature of User Power Consumption Based on Structural Self-adaptation ANN[J]. Storage & Process, 2007, 0(8): 44-48 |
| |
| Authors: | YUAN Zhong-jun CHEN Gang |
| |
| Affiliation: | 1. Guanxi Occupational Technology College of Water Conservancy and Electric Power, Guanxi 530023, China; 2. Key Laboratory of High Voltage Engineering and Electrical New Technology, Ministry of Education, Electrical Engineering College of Chongqing Univ |
| |
| Abstract: | In view of the important effect of clustering analysis in data mining, the clustering rules and its curve are studied to solve the problem of determining clustering number. A kind of self-adaptation clustering ANN is presented based on SOFM ANN, which can automatically determine the clustering number. Based on practical sales data, the time feature analysis of power user consumption are carried out by using the self-adaptation clustering ANN, whose conclusion has the important referenced values for adjusting power price correspondingly and arranging power producing reasonably. |
| |
| Keywords: | |
|
| 点击此处可从《保鲜与加工》浏览原始摘要信息 |
|
点击此处可从《保鲜与加工》下载全文 |
