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 algorithm´s 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.