An Improved Threshold Cluster Analysis Algorithm for the Energy Consumption Optimization of the Aluminum Industrial Production
The model for the energy consumption problem of the aluminum industrial production is established in this paper, and the energy consumption situation out of one ton of aluminum production is calculated. The threshold cluster analysis algorithm is a method of saving energy of the producing process. However, the choice of its distance threshold is somewhat random, so further work has been done to improve the algorithms performance, that is calculating the distance threshold with a function of the maximum distance and the minimum distance between all of the energy consumption data. Through simulation experiments and comparative analysis, the fact that the improved algorithm performs better is shown. A better reasonable input can be found faster, and the energy saving of the aluminum industrial production is much more effective.
Improved Threshold Cluster Analysis Algorithm Energy Consumption Optimization Aluminum Industrial Production Distance Threshold Data Mining Technology Energy Consumption Model Simulation
Xiaofang Lou Wei Zhang Junxian Liu Huihua Cheng Fengxing Zou
Wuhan Mechanical Technology College Wuhan, China National University of Defense Technology Changsha, China
国际会议
哈尔滨
英文
561-566
2011-08-12（万方平台首次上网日期，不代表论文的发表时间）