Multiscale forecasting method using ARMAX models Academic Article

abstract

• In this paper, we propose a new forecasting methodology that comprises simultaneous level-wise modeling in the wavelet domain. The WAW methodology (short for wavelet-ARMAX-Winters) uses three modeling strategies: ARMAX models capable of incorporating external inputs and model feedbacks, trigonometric regressions sensitive to seasonality effects, and Holt-Winters model describing trends. The comprehensive empirical analysis of the WAW method is provided, as well as the illustration on the real life problem in forecasting natural gas prices, electricity prices, and customer demand for the electric business.

authors

• Vidakovic, Brani

published proceedings

• Current Development in Theory and Applications of Wavelets

author list (cited authors)

• Chen, H., Nicolis, O., & Vidakovic, B.

complete list of authors

• Chen, H||Nicolis, O||Vidakovic, B

publication date

• December 2010

published in

• Current Development in Theory and Applications of Wavelets  Journal

start page

• 267

end page

• 287

volume

• 4

issue

• 3