• 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