Saving the energy: apply the Pattern Recognition algorithms in Aluminum Industrial Production

Abstract

In order to save energy of the aluminum industrial production, the K-means algorithm and threshold cluster analysis algorithm were used, and the classification of the energy consumption data of the aluminum industrial production is completed with Matlab simulation. We compared the two algorithms in terms of minimum total energy consumption and the actual production requirements. A class is found with more data number and smaller total energy consumption data, and such class heart is used as an input to save the aluminum industrial production. With a field experiment, the feasibility and the effectiveness of the algorithms have been verified.