Forecasting Uncertainty Intervals for Return Period of Extreme Daily Electricity Consumption

The use of extreme value theory (EVT) is usually aimed at quantifying the asymptotic behaviour quantiles. generalised Pareto distribution (GPD) with peaks-over-threshold (POT) approach applied to bootstrap uncertainty intervals for return periods daily electricity consumption in South Africa. leeway extremes on studied here impetus behind this study. To examine effect a time-based and non-stationary trend dataset, GPD cast-off computing shape parameter and, resulted establishment type III known as Weibull class African sector. Results study revealed prediction power 89.6% winter season 85.65% non-winter season. This means that EVT provides robust basis statistical modelling values. Furthermore, base future researchers conducting studies emerging markets, more specifically context has also been contributed.