The threshold cluster analysis algorithm for the energy consumption optimization of the aluminum industrial production

Author

Xiao-Fang, Lou ; Feng-xing, Zou

Author_Institution

Dept. of Autom. Control, Nat. Univ. of Defense Technol., Changsha, China

Volume

1

fYear

2010

fDate

29-31 Oct. 2010

Firstpage

220

Lastpage

224

Abstract

The basic energy consumption situation in 1 ton of aluminum production, is addressed in this paper for the current aluminum industry from mining to the aluminum processing. For a lot of energy data, and multi-dimensional character of the data, the threshold cluster analysis algorithm is proposed in this paper, and the classification of the energy consumption data of the aluminum industrial production is completed by using C++. After contrasting and analyzing the class hearts, and a comprehensive consideration of two factors of the smallest total energy consumption data and the maximum data number, an aimed class is found, and such class heart is used as an input to save the aluminum industrial production. Further more the feasibility and the effectiveness of the algorithm are verified.

Keywords

aluminium industry; aluminium manufacture; energy consumption; mining; optimisation; pattern clustering; production engineering computing; C++; aluminum industrial production; aluminum processing; classification; energy consumption optimization; mining; threshold cluster analysis; Analytical models; Casting; Water conservation; Aluminum Industry; Cluster Analysis; Data Mining; Energy Consumption; Threshold Method;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on

Conference_Location

Xiamen

Print_ISBN

978-1-4244-6582-8

Type

conf

DOI

10.1109/ICICISYS.2010.5658575

Filename

5658575