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Wavelet-based nonlinear multiscale decomposition model for electricity load forecasting

We propose a wavelet multiscale decomposition-based autoregressive approach for the prediction of 1-h ahead load based on historical electricity load data. This approach is based on a multiple resolution decomposition of the signal using the non-decimated or redundant Haar � trous wavelet transform...

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書誌詳細
主要な著者:	Benaouda D., Murtagh F., Starck J.-L., Renaud O.
その他の著者:	15844746300
フォーマット:	論文
出版事項:	2023
主題:	Autoregression General regression neural network Load forecast Multi-layer perceptron Recurrent neural network Resolution Scale Time series Wavelet transform Multilayer neural networks Recurrent neural networks Time series analysis Wavelet transforms article artificial neural network Australia decomposition electricity forecasting information processing model power supply prediction priority journal signal processing Multiple resolution decomposition Multiscale autoregressive method Electric loads
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