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.
Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:uct/oai:localhost:11427/5250 |
Date | January 2002 |
Creators | Bougaardt, G |
Contributors | Gaunt, C Trevor |
Publisher | University of Cape Town, Faculty of Engineering and the Built Environment, Department of Electrical Engineering |
Source Sets | South African National ETD Portal |
Language | English |
Detected Language | English |
Type | Master Thesis, Masters, MSc |
Format | application/pdf |
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