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• W2238087907 abstract "The ongoing deregulation of electricity sector worldwide has developed a competitive environment. These new challenges contribute to the development of a more reliable energy supply mechanism with lower cost and to the development of electricity exchanges. A better forecast of the expected electricity price helps market participants to improve their bidding strategies. In this paper, we try to investigate if a non-linear neural network estimator can provide some incremental value vs. a linear model. Our results which are in line with those of similar studies indicate that the nonparametric approach can improve the forecasting ability of linear models. Further work can be considered in the field of estimation of neural network interval forecast and the combination of wavelet analysis and neural network modeling." @default.
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• W2238087907 date "2007-12-01" @default.
• W2238087907 modified "2023-09-25" @default.
• W2238087907 title "Forecasting the Day-Ahead Electricity Price in Nord Pool with Neural Networks: Some Preliminary Results" @default.
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