"Empirical Mode Decomposition-k Nearest Neighbor Models for Wind Speed Forecasting"
written by Ye Ren, P. N. Suganthan,
published by Journal of Power and Energy Engineering, Vol.2 No.4, 2014
has been cited by the following article(s):
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[2] A Review on Hybrid Empirical Mode Decomposition Models for Wind Speed and Wind Power Prediction
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[8] Multidimensional k-nearest neighbor model based on EEMD for financial time series forecasting
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[9] Comparative study on three new hybrid models using Elman Neural Network and Empirical Mode Decomposition based technologies improved by Singular Spectrum …
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[10] Comparative study on three new hybrid models using Elman Neural Network and Empirical Mode Decomposition based technologies improved by Singular Spectrum …
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[11] A methodology for applying k-nearest neighbor to time series forecasting
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[12] Ensemble classification and regression-recent developments, applications and future directions
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[13] Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article]
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[14] Ensemble methods for wind and solar power forecasting—A state-of-the-art review
Renewable and Sustainable Energy Reviews, 2015
[15] A Comparative Study of Empirical Mode Decomposition-Based Short-Term Wind Speed Forecasting Methods
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[16] Empirical mode decomposition based adaboost-backpropagation neural network method for wind speed forecasting
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