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Forecasting Demand for Electricity: Some Methodological Issues and an Analysis


  • Pillai N., Vijayamohanan


Electricity demand projection is of utmost importance as electricity has become a vital input to the wellbeing of any society, driving the demand for it from an ever-expanding set of diverse needs to grow on an increasing rate, which in turn places increasing demands on scarce resources of capital investment, material means, and man-power. More specifically, the continuing ‘energy crisis’ has made crucial the need for accurate projection of electricity demand; hence the importance of the forecasting methods. The present paper critically evaluates the electricity demand forecasting methodology and proposes a methodology in the classical time series framework.

Suggested Citation

  • Pillai N., Vijayamohanan, 2008. "Forecasting Demand for Electricity: Some Methodological Issues and an Analysis," MPRA Paper 8899, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:8899

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    References listed on IDEAS

    1. Alan B. Krueger, 2001. "Teaching the Minimum Wage in Econ 101 in Light of the New Economics of the Minimum Wage," The Journal of Economic Education, Taylor & Francis Journals, vol. 32(3), pages 243-258, January.
    2. Brown, Charles, 1988. "Minimum Wage Laws: Are They Overrated?," Journal of Economic Perspectives, American Economic Association, vol. 2(3), pages 133-145, Summer.
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    More about this item


    Electricity demand; Forecasting; Kerala; Time series analysis;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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