• DocumentCode
    2426859
  • Title

    Forecast models and the nature of the decision process: The case of a Brazilian electricity distribution company

  • Author

    Homrich, M.C. ; Dorion, E. ; Camargo, M.E. ; Olea, P.M. ; Cruz, M.R.

  • Author_Institution
    Univ. of Caxias do Sul, Caxias do Sul, Brazil
  • fYear
    2012
  • fDate
    11-13 June 2012
  • Firstpage
    173
  • Lastpage
    178
  • Abstract
    Needs for adequate long-term planning in the execution of energy generation to meet growing demand leads to intense regulation on energy distributors. A research was realized by a Brazilian distribution company to identify the consumption prediction methods, the nature of the decision process and their specific interaction scheme. Were initially identified the models already used by other distribution companies. After, were studied the accuracy of the models and the models were adjusted based on the industrial consumption, with the use of Box-Jenkins methodology. Finally, were established criteria which have an impact on the decision process, using Herbert Simon´s theory; demonstrating the limited value of any existing tool, and the importance of using more than one, integrating quantitative to qualitative analysis.
  • Keywords
    decision making; electricity supply industry; forecasting theory; industrial economics; power consumption; power distribution control; power distribution economics; Box-Jenkins methodology; Brazilian electricity distribution company; Herbert Simon theory; consumption prediction method; decision process; energy distributor regulation; energy generation; forecast model; industrial consumption; long-term planning; qualitative analysis; quantitative analysis; Companies; Contracts; Decision making; Electricity; Forecasting; Marketing and sales; Predictive models; Brazilian industry; Forecast Models; decision process; electricity distribution sector;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of Innovation and Technology (ICMIT), 2012 IEEE International Conference on
  • Conference_Location
    Sanur Bali
  • Print_ISBN
    978-1-4673-0108-4
  • Type

    conf

  • DOI
    10.1109/ICMIT.2012.6225800
  • Filename
    6225800