Short-term Forecasting of Electricity Consumption in Maputo

被引：0

作者：

Sotomane, Constantino ^{[1
]}

Asker, Lars ^{[1
]}

Bostrom, Henrik ^{[1
]}

Massingue, Venancio ^{[2
]}

机构：

[1] Stockholm Univ, Dept Comp & Syst Sci, Stockholm, Sweden

[2] Eduardo Mondlane Univ, Maputo, Mozambique

来源：

2013 INTERNATIONAL CONFERENCE ON ADVANCES IN ICT FOR EMERGING REGIONS (ICTER) | 2013年

关键词：

Short-term load forecasting; Day-Ahead-Market; robust regression; multiple models; clustering; Mozambique;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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 Mocambique 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.

引用

页码：132 / 136

页数：5

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