Price Forecast for Power Device Using Principal Component Regression Combined with Grey Relational Analysis

被引：0
|
作者：
Su, Zhiheng [1 ]
Zou, Mengyuan [2 ]
Zhang, Jin [2 ]
Wang, Jun [3 ]
Li, Zhiming [3 ]
机构：
[1] Yunnan Power Grid Co Ltd, Kunming 650011, Peoples R China
[2] Yunnan Power Grid Co Ltd, Logist Serv Ctr, Kunming 650011, Peoples R China
[3] Kunming Enersun Technol Co Ltd, Kunming 650021, Peoples R China
来源：
2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD) | 2016年
关键词：
Price forecast; Power device; Principal Component Regression; Grey Relational Analysis; DECISION-MAKING;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In view of the shortages of Price forecast for power device, a new forecast model GPCR was proposed in this paper. By analyzing the main problems in the current procurement of Power Grid Corp, this paper uses grey relational analysis (GRA) and principal component regression (PCR) to forecast the price of power device. In the experiments, we prove that the proposed method is effective, and show the regularity of price for some kind power device.
引用
收藏
页码：1670 / 1675
页数：6
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