Sökning: onr:"swepub:oai:DiVA.org:his-18253" >
Improving forecasti...
Improving forecasting by estimating time series structural components across multiple frequencies
-
- Kourentzes, Nikolaos (författare)
- Lancaster University Management School, Department of Management Science, Lancaster, Lancashire, United Kingdom
-
- Petropoulos, Fotios (författare)
- Lancaster University Management School, Department of Management Science, Lancaster, Lancashire, United Kingdom
-
- Trapero, Juan R. (författare)
- Universidad de Castilla-La Mancha, Departamento de Administracion de Empresas, Ciudad Real, Spain
-
(creator_code:org_t)
- Elsevier, 2014
- 2014
- Engelska.
-
Ingår i: International Journal of Forecasting. - : Elsevier. - 0169-2070 .- 1872-8200. ; 30:2, s. 291-302
- Relaterad länk:
-
https://eprints.lanc...
-
visa fler...
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Identifying the most appropriate time series model to achieve a good forecasting accuracy is a challenging task. We propose a novel algorithm that aims to mitigate the importance of model selection, while increasing the accuracy. Multiple time series are constructed from the original time series, using temporal aggregation. These derivative series highlight different aspects of the original data, as temporal aggregation helps in strengthening or attenuating the signals of different time series components. In each series, the appropriate exponential smoothing method is fitted and its respective time series components are forecast. Subsequently, the time series components from each aggregation level are combined, then used to construct the final forecast. This approach achieves a better estimation of the different time series components, through temporal aggregation, and reduces the importance of model selection through forecast combination. An empirical evaluation of the proposed framework demonstrates significant improvements in forecasting accuracy, especially for long-term forecasts.
Ämnesord
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
Nyckelord
- Aggregation
- Combining forecasts
- ETS
- Exponential smoothing
- M3 Competition
- MAPA
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas