• DocumentCode
    2166583
  • Title

    Prediction of natural gas consumption

  • Author

    Zhang, R.L. ; Walton, D.J. ; Hoskins, W.D.

  • Author_Institution
    Dept. of Comput. Sci., Manitoba Univ., Winnipeg, Man., Canada
  • fYear
    1993
  • fDate
    14-17 Sep 1993
  • Firstpage
    1156
  • Abstract
    Distributors of natural gas need to predict future consumption in order to purchase a sufficient supply on contract. Distributors that offer their customers equal payment plans need to predict the consumption of each customer, twelve months in advance. None equal payment plan customers are expected to pay for their consumption as billed monthly. However, as a cost-saving measure, their meters are usually only read bimonthly. Estimates based on previous consumption patterns are used for months without readings. Often, for customers whose meters are usually inaccessible, e.g. indoor meters, meters buried under snow, etc., only two or three irregular readings per year are taken. In such cases, the distributor relies on estimates most of the time. Existing methods of prediction and a proposed new method for a local region are discussed
  • Keywords
    digital simulation; engineering computing; load forecasting; metering; natural gas technology; public utilities; computer simulation; cost-saving; customers; demand forecasting; equal payment plans; gas distributors; local region; metering; natural gas consumption; Computer science; Contracts; Equations; Heating; Human factors; Meter reading; Natural gas; Predictive models; Snow; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 1993. Canadian Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-2416-1
  • Type

    conf

  • DOI
    10.1109/CCECE.1993.332179
  • Filename
    332179