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- W2365377773 abstract "According to the characteristics of the short-term power load,a kind of short-term load forecasting model is proposed based on wavelet de-noising and ELMAN feedback neural network.Wavelet transform is widely used in the load smoothing process due to its capability of analyzing the signal in time and frequency domain and distinguishing the noise signal preferably.The hidden output of ELMAN will feedback back to forming a dynamic network,which is different from common forward neural network in structure.Due to the feedback effect,not only can ELMAN neural network store the current sequence input data but also some certain input data information of the past.Through the simulation of actual data,it is proved that this method is good at improving the prediction accuracy compared with the traditional forecast model." @default.
- W2365377773 created "2016-06-24" @default.
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- W2365377773 date "2013-01-01" @default.
- W2365377773 modified "2023-09-23" @default.
- W2365377773 title "Short-term Electric Load Forecasting of Wavelet De-noising and ELMAN Neural Network" @default.
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