PREDICTING THE DEMAND FOR ELECTRIC POWER AS A MEANS OF MAKING THE METALLURGICAL INDUSTRY MORE EFFICIENT

被引：0

作者：

Bazhinov, A. N. ^{[1
]}

Ershov, E. V. ^{[2
]}

机构：

[1] Cherepovets State Univ, Cherepovets, Russia

[2] Soloviov Rybinsk State Acad Aeronaut Engn, Rybinsk, Russia

来源：

METALLURGIST | 2012年 / 55卷 / 11-12期

关键词：

efficiency of production; metallurgy; electrical demand; decision trees; significance; input attributes of a model;

D O I：

10.1007/s11015-012-9502-2

中图分类号：

TF [冶金工业];

学科分类号：

0806 ;

摘要：

This article examines the use of predictions of electrical demand as a means of making the metallurgical industry more efficient and discusses one approach - the use of decision trees - to solving problems that involve automated data analysis. The concept of the significance of input attributes is introduced together with a formula for calculating it. Results are presented from practical application of this method to the problem of finding the significant factors for forecasting the electric-power needs of a metallurgical plant.

引用

页码：780 / 784

页数：5

共 43 条

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