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