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
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