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This paper proposes the approach to reduce the prediction error at occurrence time of peak electricity price, and aims to enhance the accuracy of next day electricity price forecasting. In the proposed method, the weekly variation data is used for input factors of the NN at occurrence time of peak electricity price in order to catch the price variation. Moreover, learning data for the neural network...
This paper proposes an approach for next-day peak electricity price forecasting using neural networks (NN), based on rough sets. In the proposed method, input factors of the NN are selected by using correlation analysis. Moreover, learning data used for training of the NN, is selected by rough sets. The proposed method for creating learning data based on temperature fluctuation is used for generation...
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