IDEAS home Printed from https://ideas.repec.org/a/ibn/masjnl/v4y2010i10p27.html
   My bibliography  Save this article

Energy Consumption Optimization of the Aluminum Industrial Production Based on Pattern Recognition

Author

Listed:
  • Xiaofang Lou
  • Fengxing Zou

Abstract

The basic energy consumption situation in 1 ton of aluminum production is addressed in this paper for the current aluminum industry from mining to the aluminum processing. In order to save energy of the aluminum industrial production, the K-means algorithm and threshold cluster analysis algorithm from the pattern recognition are proposed, and the classification of the energy consumption data of the aluminum industrial production is completed by using C++. The two algorithms are compared 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. Further-more the feasibility and the effectiveness of the algorithms are verified.

Suggested Citation

  • Xiaofang Lou & Fengxing Zou, 2010. "Energy Consumption Optimization of the Aluminum Industrial Production Based on Pattern Recognition," Modern Applied Science, Canadian Center of Science and Education, vol. 4(10), pages 1-27, October.
    • Handle: RePEc:ibn:masjnl:v:4:y:2010:i:10:p:27
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/mas/article/download/7626/5834
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/mas/article/view/7626
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:masjnl:v:4:y:2010:i:10:p:27. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.