Title:
Multiscale Forecasting Method using ARMAX Models

dc.contributor.author Chen, Hongmei
dc.contributor.author Vidakovic, Brani
dc.contributor.author Mavris, Dimitri N.
dc.contributor.corporatename Georgia Institute of Technology. School of Industrial and Systems Engineering
dc.contributor.corporatename Georgia Institute of Technology. School of Aerospace Engineering
dc.contributor.corporatename Georgia Institute of Technology. Aerospace Systems Design Laboratory
dc.date.accessioned 2008-12-02T14:15:55Z
dc.date.available 2008-12-02T14:15:55Z
dc.date.issued 2004
dc.description.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 models describing trends. The comprehensive empirical analysis of WAW models is provided, as well as the illustration on the real life problem in forecasting the natural gas price, electricity price, and customer demand for electric business. en
dc.identifier.uri http://hdl.handle.net/1853/25852
dc.language.iso en_US en
dc.publisher Georgia Institute of Technology en
dc.relation.ispartofseries Biomedical Engineering Technical Report ; 30/2004 en
dc.subject Forecasting en
dc.subject Wavelets en
dc.subject ARMAX model en
dc.title Multiscale Forecasting Method using ARMAX Models en
dc.type Text
dc.type.genre Technical Report
dspace.entity.type Publication
local.contributor.author Mavris, Dimitri N.
local.contributor.author Vidakovic, Brani
local.contributor.corporatename Wallace H. Coulter Department of Biomedical Engineering
local.contributor.corporatename College of Engineering
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relation.isAuthorOfPublication 1463fd97-3d52-4269-afac-97f6f7f46fcd
relation.isOrgUnitOfPublication da59be3c-3d0a-41da-91b9-ebe2ecc83b66
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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