DocumentCode :
3539769
Title :
Short-term forecasting of electricity consumption in maputo
Author :
Sotomane, Constantino ; Asker, Lars ; Bostrom, Henrik ; Massingue, Venancio
Author_Institution :
Dept. of Comput. & Syst. Sci., Stockholm Univ., Stockholm, Sweden
fYear :
2013
fDate :
11-15 Dec. 2013
Firstpage :
132
Lastpage :
136
Abstract :
We present a short-term load forecasting model for Maputo. The model is based on the concept of multiple models. A clustering method is combined with expert´s knowledge to identify sub-models. The resulting model, which is the combination of several sub-models, is evaluated and compared to the model currently used by the Electricidade de Moçambique E.P (EDM). The results show that the developed model performs better accuracy than the one currently used by EDM. The results obtained by the application of the model when translated into financial figures demonstrate significant economic advantages. The social and environmental implications of the model are also analysed.
Keywords :
load forecasting; pattern clustering; power system economics; socio-economic effects; Electricidade de Mocambique; Maputo; clustering method; economic advantages; electricity consumption; environmental implications; expert knowledge; short-term load forecasting model; social implications; Data models; Electricity; Forecasting; Load forecasting; Load modeling; Mathematical model; Predictive models; Day-Ahead-Market; Mozambique; Short-term load forecasting; clustering; multiple models; robust regression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in ICT for Emerging Regions (ICTer), 2013 International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4799-1275-9
Type :
conf
DOI :
10.1109/ICTer.2013.6761167
Filename :
6761167
Link To Document :
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