Forecasting Demand for Electricity: Some Methodological Issues and an Analysis
AbstractElectricity 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.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 8899.
Date of creation: 29 May 2008
Date of revision:
Electricity demand; Forecasting; Kerala; Time series analysis;
Find related papers by 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
- L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-06-07 (All new papers)
- NEP-CWA-2008-06-07 (Central & Western Asia)
- NEP-ENE-2008-06-07 (Energy Economics)
- NEP-FOR-2008-06-07 (Forecasting)
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