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The development of a demand profile forecasting model for Eskom, with particular emphasis on the estimation of the demand impact of time differentiated tariffs

A dissertation submitted to the Faculty of Engineering. University of the
Witwatersrand. Johannesburg, in fulfilment of the requirements for the
degree of Master of Science in Engineering.
D.tT~.awart •• w1t~4i.tinotion on , Dec ••ber I,e7
Johannesburg. ItN7 / Accurate forecastinu of system Maximum Demand (MDl is vital ~o Esk011l.
Under-estimating the MD could re-ul: in a generation capacity shortage.
with devastating consequences for the economy. Similarly. a high MD
forecast would result in overcapacity. with expensive generating plant
standing idle The traditional method of MD forecasting in Eskorn has
become unreliable due to a changing relationship between forecast energy
sales and expected maximum demand. The reasons for the changing system
demand profile were isolated and analysed. Alternative MD forecasting
techniques are evaluated and end-use hourly aggregation modets were
;d'~ntifieJ as a method suitable for Eskorn, An experimental demand profile
forecasting moue! was developed, using data from a previous project. The
model was tested and proved able to cope with the structural changes in the
system demand profile. This resulted in the adoption of this technique by
Eskorn and approval for the devclopn-ent of a f\.JJ1 scale de manu profile
forecasting model.

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:wits/oai:wiredspace.wits.ac.za:10539/20671
Date20 July 2016
CreatorsBerrisford, Andrew John
Source SetsSouth African National ETD Portal
LanguageEnglish
Detected LanguageEnglish
TypeThesis
Formatapplication/pdf

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