Energy Consumption Optimization of the Aluminum Industrial Production Based on K-means Algorithm
This paper extracted the basic energy consumption situation in 1 ton of aluminum production, for the current aluminum industry from mining to the aluminum processing. For a lot of multi-dimensional energy data, this paper based on the principle of K-means algorithm, and introduced into the error limit, then completed the data mining of the multi-dimensional energy consumption data of the aluminum industrial production by using C++. After a comprehensive consideration of two factors of the total energy consumption data is smallest and the data number is largest, this paper found the classes that the total energy consumption data is smallest and the data number is largest, contrasted and analyzed their class hearts, finally arrived at a reasonable input to achieve the purpose of energy saving of the aluminum industrial production. Further more verified the feasibility and effectiveness of the algorithm.
aluminum industry energy consumption K- means algorithm clustering 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
长春
英文
61-64
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）