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

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.

Grantor dc:publisher.institution

Department of Electrical Engineering

Year dc:date.issued

2002

Author dc:creator

• Bougaardt, G

Advisor dc:contributor.advisor

• Gaunt, C Trevor

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/11427/5250

OAI identifier oai:identifier

oai:open.uct.ac.za:11427/5250