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Short-term Forecasting of Electricity Consumption in Maputo
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap. Ministry Of Science and Technology, Mozambique.
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
2013 (engelsk)Inngår i: International Conference on Advances in ICT for Emerging Regions (ICTer) - 2013: Conference Proceedings, IEEE Computer Society, 2013, 132-136 s.Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

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.

sted, utgiver, år, opplag, sider
IEEE Computer Society, 2013. 132-136 s.
Emneord [en]
Short-term load forecasting, Day-Ahead-Market, robust regression, multiple models, clustering, Mozambique
HSV kategori
Forskningsprogram
data- och systemvetenskap
Identifikatorer
URN: urn:nbn:se:su:diva-97748DOI: 10.1109/ICTer.2013.6761167ISBN: 978-1-4799-1274-2 (tryckt)OAI: oai:DiVA.org:su-97748DiVA: diva2:679978
Konferanse
ICTer 2013, International Conference on Advances in ICT for Emerging Regions, 11-15 December 2013, Colombo (Sri Lanka)
Tilgjengelig fra: 2013-12-17 Laget: 2013-12-17 Sist oppdatert: 2016-03-17bibliografisk kontrollert

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