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An investigation into the application of artificial neural networks and cluster analysis in long-term load forecasting

Bibliography: leaves 105-108. / This thesis investigates the problem of electric long-tenn load forecasting based on weather conditions (specifically temperature) and also investigates load forecasting by segmenting customers according to their pattern of use using clustering techniques in order to produce an effective long-tenn load forecast.

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:uct/oai:localhost:11427/5250
Date January 2002
CreatorsBougaardt, G
ContributorsGaunt, C Trevor
PublisherUniversity of Cape Town, Faculty of Engineering and the Built Environment, Department of Electrical Engineering
Source SetsSouth African National ETD Portal
LanguageEnglish
Detected LanguageEnglish
TypeMaster Thesis, Masters, MSc
Formatapplication/pdf

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