Wind power forecasting using wavelet transforms and neural networks with tapped delay

Wind power forecasting using wavelet transforms and neural networks with tapped delay

With an objective to improve wind power estimation accuracy and reliability, this paper presents Linear Neural Networks with Tapped Delay (LNNTD) in combination with wavelet transform (WT) for probabilistic wind power forecasting in a time series framework. For comparison purposes, results of the pr...

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Bibliographic Details
Main Authors:	Sumit Saroha, S. K. Aggarwal
Format:	Article
Language:	English
Published:	China electric power research institute 2018-06-01
Series:	CSEE Journal of Power and Energy Systems
Online Access:	https://ieeexplore.ieee.org/document/8386632

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