• DocumentCode
    2392814
  • Title

    Evaluation and Forecasting of Long Term Electricity Consumption Demand for Malaysia by Statistical Analysis

  • Author

    Imtiaz, A.K. ; Mariun, Norman B. ; Amran, M.M.R. ; Saleem, Muneeba ; Wahab, Noor Izzri Abdul ; Mohibullah

  • fYear
    2006
  • fDate
    28-29 Nov. 2006
  • Firstpage
    257
  • Lastpage
    261
  • Abstract
    An essential element of electric utility resource planning is forecasting the annual electricity consumption for the long term. This study includes an approach to understand the factors affecting annual electricity demand and forecast future electricity consumption, by using multivariate regression analysis in its calculations, for Malaysia. The process of study is to develop a statistical model and testing it by using past year data to understand its accuracy. After obtaining the most reliable model, forecasting the electricity consumption for the long term future electricity demand is performed. The scenario is developed by means of economical conditions and how the variables are going to be changed in the following years. The model yields very satisfactory results and the range of electricity consumption is obtained.
  • Keywords
    electricity supply industry; load forecasting; power consumption; power system economics; power system planning; regression analysis; Malaysia; demand forecasting; electric utility economics; electricity consumption; multivariate regression analysis; resource planning; statistical analysis; Demand forecasting; Economic forecasting; Energy consumption; Investments; Load forecasting; Multivariate regression; Power generation economics; Predictive models; Statistical analysis; Time series analysis; Electricity Consumption; Forecasting; Multivariate Regression Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Conference, 2006. PECon '06. IEEE International
  • Conference_Location
    Putra Jaya
  • Print_ISBN
    1-4244-0273-5
  • Electronic_ISBN
    1-4244-0274-3
  • Type

    conf

  • DOI
    10.1109/PECON.2006.346658
  • Filename
    4154502