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- W2355847521 abstract "A quantum neural networks(QNN) method for short-term load forecasting of power system is proposed.Th e models from QNN forecast the short-term load as single model.Th e artificial neural networks(ANN) and non-linear regression forecast are selected to evaluate the credit of forecasting results of the above models,with histo rical forecasting errors and environmental influence.The credit is combined to calculate the weights with Dempster-Shafer(D-S) evidential theory.The final forecasting is obtained by the weighted forecasting.The real experiment shows the accuracy of the method based on D-S evidential theory is improved." @default.
- W2355847521 created "2016-06-24" @default.
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- W2355847521 date "2010-01-01" @default.
- W2355847521 modified "2023-09-23" @default.
- W2355847521 title "Short-term load forecasting based on quantum neural network by evidential theory" @default.
- W2355847521 hasPublicationYear "2010" @default.
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