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• W2534246497 abstract "Case based reasoning methodology has been used for improving electric load forecasting. Classical extrapolation computed by curve fitting algorithms is adjusted according to short term variations previously registered. Retrieved registers are adapted according to socioeconomic knowledge available related to the prevision point. This strategy has been integrated in a software framework, named FUTURA, in order to operate with real data bases for electric load forecasting in Peru. Improving results are contrasted with other strategies." @default.
• W2534246497 created "2016-10-28" @default.
• W2534246497 creator A5018272444 @default.
• W2534246497 creator A5039422179 @default.
• W2534246497 date "2005-06-01" @default.
• W2534246497 modified "2023-09-22" @default.
• W2534246497 title "Improvement of electric load forecasting reusing past instances and contextual based adaptation" @default.
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• W2534246497 doi "https://doi.org/10.1109/tdc.2004.1432390" @default.
• W2534246497 hasPublicationYear "2005" @default.
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