• DocumentCode
    3251881
  • Title

    A novel modification of ARX to generalize crude oil consumption model

  • Author

    Awaludin, Iwan ; Ibrahim, Rosdiazli ; Rama Rao, K.S.

  • Author_Institution
    Electr. & Electron. Eng. Dept., UTP, Malaysia
  • fYear
    2009
  • fDate
    23-26 Jan. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A general model of oil consumption is investigated in this study. This model should be applicable to different countries even with different characteristics. Conventional model that works very well for Malaysia is tested with seven developing Asian countries: China, India, Indonesia, Malaysia, Pakistan, Philippines, and Thailand. The results have shown that this model can not produce a good fit to original data. A modification of Autoregressive Exogenous (ARX) model is proposed and tested. Data are separated into training and validation dataset where the number of validation dataset is higher than the number of training dataset. The results have shown that the proposed model can be considered as a general model where all countries except Philippines can produce a good fit to original data.
  • Keywords
    crude oil; learning (artificial intelligence); regression analysis; Asian countries; autoregressive exogenous model; crude oil consumption model; training dataset; validation dataset; Artificial neural networks; Decision making; Energy consumption; Extrapolation; Gallium nitride; Mathematical model; Petroleum; Predictive models; Root mean square; Testing; ARX; Asian Countries; Oil Consumption;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2009 - 2009 IEEE Region 10 Conference
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-4546-2
  • Electronic_ISBN
    978-1-4244-4547-9
  • Type

    conf

  • DOI
    10.1109/TENCON.2009.5395846
  • Filename
    5395846