• DocumentCode
    2822262
  • Title

    Combination Forecasting Model Based on Drift

  • Author

    Li, Meijuan ; Chen, Guohong ; Lin, Zhibing ; Cai, Binqing

  • Author_Institution
    Sch. of Manage., Fuzhou Univ., Fuzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    443
  • Lastpage
    446
  • Abstract
    In order to make up shortage of existing forecasting models and improve forecasting precision and effectiveness, a new thought of combination forecasting model is given in this paper. Combination forecasting model based on drift is proposed by studying the drift and complementarity of different single forecasting models. The calculation steps of combination forecasting model based on drift are given. A practical example on Chinese energy consumption shows four forecast efficient measures (SSE, MAE, RMSE, MAPE) of combination forecasting model based on drift are better than single forecasting models, combination forecasting model based on drift can improve forecasting precision and it is effective in practice. Combination forecasting model based on drift is an effective forecasting model to make up shortage of existing forecasting models.
  • Keywords
    energy consumption; forecasting theory; Chinese energy consumption; MAE; MAPE; RMSE; SSE; combination forecasting model based on drift; forecast efficient measure; forecasting model shortage make up; mean absolute error; mean absolute percentage error; root mean squared error; sum squared error; Conference management; Energy consumption; Energy measurement; Fitting; Load forecasting; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.26
  • Filename
    5193991