IDEAS home Printed from https://ideas.repec.org/a/ids/ijsoma/v13y2012i1p1-18.html
   My bibliography  Save this article

Energy consumption forecasting using a bi-objective fuzzy linear regression model

Author

Listed:
  • Masoud Rabbani
  • S.M. Ghoreyshi
  • H. Rafiei
  • M. Ghazanfari

Abstract

In this paper, a new bi-objective fuzzy linear regression model is proposed in order to fill the gap in the field of forecasting using possibilistic programming. Additionally, the proposed model is compared with three promising fuzzy linear regression models from literature in order to forecast the energy consumption in USA, Japan, Canada, and Australia during 2010 to 2015. In the fuzzy regression models, independent variables are population, cost of crude oil, gross domestic production (per capita), and annual energy production where dependent variable is energy consumption. In order to train the models and estimate their parameters, historical data from 1990 to 2005 are used for each country. Then, the models performance in energy consumption forecasting is tested using actual data from 2006 to 2009. Based on results of mean absolute percentage error (MAPE), the proposed model outperforms other models. Finally, the energy consumption in USA, Japan, Canada, and Australia is forecasted for 2010 to 2015 using the proposed model. The results show that the proposed model provides accurate solution for energy consumption problem.

Suggested Citation

  • Masoud Rabbani & S.M. Ghoreyshi & H. Rafiei & M. Ghazanfari, 2012. "Energy consumption forecasting using a bi-objective fuzzy linear regression model," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 13(1), pages 1-18.
    • Handle: RePEc:ids:ijsoma:v:13:y:2012:i:1:p:1-18
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=48273
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gori, Fabio, 2016. "Mass and energy-capital conservation equations to forecast the oil price evolution with accumulation or depletion of the resources," Energy, Elsevier, vol. 116(P1), pages 746-760.

    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:ids:ijsoma:v:13:y:2012:i:1:p:1-18. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=150 .

    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.