Order reprints

Wind Speed Forecasting Using Hybrid Wavelet Transform—ARMA Techniques

Diksha Kaur Tek Tjing Lie Nirmal K. C. Nair Brice Vallès

*Corresponding author: Tek Tjing Lie tlie@aut.ac.nz

energy2015,1,13doi:10.3934/energy.2015.1.13

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.

Please supply your name and a valid email address you yourself

Fields marked*are required

Article URL   http://www.aimspress.com/energy/article/30.html
Article ID   20150102
Editorial Email  
Your Name *
Your Email *
Quantity *

Copyright © AIMS Press All Rights Reserved