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vol.23 número3Regression-SARIMA modelling of daily peak electricity demand in South AfricaComparing performance of MLP and RBF neural network models for predicting South Africa's energy consumption índice de autoresíndice de materiabúsqueda de artículos
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Journal of Energy in Southern Africa

versión On-line ISSN 2413-3051
versión impresa ISSN 1021-447X


DZOBO, Oliver; GAUNT, Trevor  y  HERMAN, Ronald. Reliability worth assessment of electricity consumers: A South African case study. J. energy South. Afr. [online]. 2012, vol.23, n.3, pp.31-39. ISSN 2413-3051.

This paper discusses the results obtained from a customer survey conducted in Cape Town, South Africa, using in-person interviews with approximately 275 sample business customers. The survey included customer interruption cost estimation questions based on the direct costing method. The results obtained show that customer interruption cost for business customers varies with duration and time of occurrence of power interruptions. The variation was shown to be dependent on customer segment. Furthermore, it revealed that business customers can be grouped in terms of the investment they make to mitigate the impact of power interruptions on their activities, such as the use of backup power supplies.

Palabras clave : Energy Bill; customer interruption cost.

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