Prediction of the DST Index Using Multi-resolution Wavelet Models
Wei, H.L., Billings, S.A. and Balikhin, M.
(2003)
Prediction of the DST Index Using Multi-resolution Wavelet Models.
Research Report.
ACSE Research Report 849
.
Department of Automatic Control and Systems Engineering
Abstract
A new identification approach is introduced for predicting the Dst index using multi-resolution B-spline wavelet models based on an observational data set consisting of VB's, the solar wind parameter as the input and the Dst index as the output. The relationship between the input VB's and output Dst is initially described using a B-spline wavelet model. This model is then simplified using an OLS-ERR (orthogonal least squares and error reduction ratio) algorithm by selecting the significant model terms to produce a parsimonious wavelet model. Forecasts of the Dst index are then computed based on this model.
Metadata
Authors/Creators:
Wei, H.L.
Billings, S.A.
Balikhin, M.
Copyright, Publisher and Additional Information:
The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances.
Keywords:
B-spline; Wavelets; Dst index; Multi-resolution analysis; Orthogonal least squares
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