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- W2108474403 abstract "This paper presents the practical application of an artificial neural network to the power system load forecasting problem. This work examines the training, testing, and operation of a simple neural network. Furthermore, a method for improving the prediction accuracy of a forecasting neural network is proposed. This approach views the forecasting problem as a knowledge-based discrete time filtering problem. Encouraging results have been obtained using this method for forecasting the peak monthly load of a power utility, over a number of years." @default.
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- W2108474403 date "2002-11-19" @default.
- W2108474403 modified "2023-09-26" @default.
- W2108474403 title "A practical approach to electric load forecasting using artificial neural networks with corrective filtering" @default.
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- W2108474403 doi "https://doi.org/10.1109/ccece.1995.528152" @default.
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