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- W2049272018 abstract "The objective of this paper is to develop a novel wind speed forecasting technique, which produces more accurate prediction. The Wavelet Transform (WT) along with the Auto Regressive Moving Average (ARMA) is chosen to form a hybrid whose combination is expected to give minimum Mean Absolute Prediction Error (MAPE). A simulation study has been conducted by comparing the forecasting results using the Wavelet-ARMA with the ARMA and Artificial Neural Network (ANN)-Ensemble Kalman Filter (EnKF) hybrid technique to verify the effectiveness of the proposed hybrid method. Results of the proposed hybrid show significant improvements in the forecasting error." @default.
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- W2049272018 date "2015-01-01" @default.
- W2049272018 modified "2023-10-16" @default.
- W2049272018 title "Wind Speed Forecasting Using Hybrid Wavelet Transform—ARMA Techniques" @default.
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- W2049272018 doi "https://doi.org/10.3934/energy.2015.1.13" @default.
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