Electricity demand for Sri Lanka: A time series analysis

Himanshu A. Amarawickrama*, Lester C. Hunt

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review


    This study estimates electricity demand functions for Sri Lanka using six econometric techniques. It shows that the preferred specifications differ somewhat and there is a wide range in the long-run price and income elasticities with the estimated long-run income elasticity ranging from 1.0 to 2.0 and the long-run price elasticity from 0 to -0.06. There is also a wide range of estimates of the speed with which consumers would adjust to any disequilibrium, although the estimated impact income elasticities tended to be more in agreement ranging from 1.8 to 2.0. Furthermore, the estimated effect of the underlying energy demand trend varies between the different techniques; ranging from being positive to zero to predominantly negative. Despite these differences, the forecasts generated from the six models up until 2025 do not differ significantly. It is therefore encouraging that the Sri Lanka electricity authorities can have some faith in econometrically estimated models used for forecasting. Nonetheless, by the end of the forecast period in 2025 there is a variation of around 452 MW in the base forecast peak demand that, in relative terms for a small electricity generation system like Sri Lanka's, represents a considerable difference.

    Original languageEnglish
    Pages (from-to)724-739
    Number of pages16
    Issue number5
    Publication statusPublished - 2008


    • Developing countries
    • Electricity demand estimation
    • Sri Lanka


    Dive into the research topics of 'Electricity demand for Sri Lanka: A time series analysis'. Together they form a unique fingerprint.

    Cite this