The Threshold Cluster Analysis Algorithm for the Energy Consumption Optimization of the Aluminum Industrial Production
The basic energy consumption situation in f 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.
Aluminum Industry Energy Consumption Threshold Method Cluster Analysis Data Mining
Lou Xiao-fang Zou Feng-xing
Department of Automatic Control, College of Mechatronics and Automation, National University of Defense Technology Changsha, China
国际会议
厦门
英文
220-224
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）