An investigation into the application of artificial neural networks and cluster analysis in long-term load forecasting
Master Thesis
2002
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University of Cape Town
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Abstract
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.
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Bibliography: leaves 105-108.
Reference:
Bougaardt, G. 2002. An investigation into the application of artificial neural networks and cluster analysis in long-term load forecasting. University of Cape Town.