• DocumentCode
    1166763
  • Title

    A Hierarchical Recursive Method for Substantially Improving Trending of Small Area Load Forecasts

  • Author

    Willis, H.L. ; Northcote-Green, J.E.D.

  • Author_Institution
    Advanced Systems Technology Westinghouse Electric Company
  • Issue
    6
  • fYear
    1982
  • fDate
    6/1/1982 12:00:00 AM
  • Firstpage
    1776
  • Lastpage
    1783
  • Abstract
    A spatially recursive technique for structuring the trending of a small area load forecast is described. The method employs trending of more than just the individual small area loads. Computer implementation of the technique is simple and straightforward, and requires only slightly more computer time and memory than previous trending methods, while maintaining the low data requirements and ease of use common to such techniques. Forecasts obtained using the new method have only from one half to one fourth of the error of forecasts obtained from other trending methods.
  • Keywords
    Computational modeling; Computer errors; Computer industry; Demand forecasting; Extrapolation; History; Load forecasting; Power industry; Predictive models; Substations;
  • fLanguage
    English
  • Journal_Title
    Power Apparatus and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9510
  • Type

    jour

  • DOI
    10.1109/TPAS.1982.317231
  • Filename
    4111518