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- W1968477654 abstract "This paper proposes a SOM-based hierarchical neural model to the problem of short-term load forecasting. The neural model is made up of two self-organizing map nets - one on top of the other. It has been successfully applied to domains which require time series analysis. The model was trained and assessed on load data extracted from a Brazilian electric utility. It was required to predict once every hour the electric load during the next 24 hours. The paper presents the results, and evaluates them." @default.
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- W1968477654 date "2005-06-01" @default.
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- W1968477654 title "A SOM-based hierarchical model to short-term load forecasting" @default.
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- W1968477654 doi "https://doi.org/10.1109/ptc.2005.4524693" @default.
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