A review on empirical mode decomposition in forecasting time series

Authors

  • Ahmad M. Awajan Al Hussien bin Talal University - Department of Mathematics
  • Mohd Tahir Ismail University Science Malaysia - School of Mathematical Sciences
  • S. Al Wadi The University of Jordan - Department of Risk Management and Insurance

Keywords:

empirical mode decomposition, intrinsic mode function, hybrid approach, forecasting time series, review, empirical mode decomposition, intrinsic mode function, hybrid approach, forecasting time series, review

Abstract

This study aims to survey and summarize the studies that introduced forecasting time series method based on EMD, providing references for researchers relating to this topic.  We highlight results that have published during 1998 - 2017 (since presented the EMD technique).  In this survey, we also present some studies that improved EMD methodology to overcome its limitations.  In this survey, we present some studies that improved EMD methodology to overcome its limitations, as well studies that have introduced an expansion of EMD methodology.  There has been tremendous progress in many areas, but we find that there are a large number of topics that need to be further developed.  Finally, we summary some remarks may it will help the researcher in this area.

Author Biography

Ahmad M. Awajan, Al Hussien bin Talal University - Department of Mathematics

 

 

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Published

2019-07-30

How to Cite

Awajan, A. M., Ismail, M. T., & Al Wadi, S. (2019). A review on empirical mode decomposition in forecasting time series. Italian Journal of Pure and Applied Mathematics, 42, 301–323. Retrieved from https://journals.uniurb.it/index.php/ijpam/article/view/7237

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Section

Articoli - Forum Editrice

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