Modelling influence of temperature on daily peak electricity demand in South Africa

Authors

  • Delson Chikobvu University of Cape Town
  • Caston Sigauke

DOI:

https://doi.org/10.17159/2413-3051/2013/v24i4a3147

Keywords:

Extreme value theory, piecewise linear regression, regression splines, temperature

Abstract

The paper discusses the modelling of the influence of temperature on average daily electricity demand in South Africa using a piecewise linear regression model and the generalized extreme value theory approach for the period - 2000 to 2010. Empirical results show that electricity demand in South Africa is highly sensitive to cold temperatures. Extreme low average daily temperatures of the order of 8.20C are very rare in South Africa. They only occur about 8 times in a year and result in huge increases in electricity demand.

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Author Biography

  • Delson Chikobvu, University of Cape Town
    Energy Research Centre Snr Research Officer

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Published

2013-11-01

How to Cite

Modelling influence of temperature on daily peak electricity demand in South Africa. (2013). Journal of Energy in Southern Africa, 24(4), 63-70. https://doi.org/10.17159/2413-3051/2013/v24i4a3147