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Initialization Methods for Multiple Seasonal Holt-Winters Forecasting Models

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Initialization Methods for Multiple Seasonal Holt-Winters Forecasting Models

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Trull, O.; García-Díaz, JC.; Troncoso, A. (2020). Initialization Methods for Multiple Seasonal Holt-Winters Forecasting Models. Mathematics. 8(2):1-17. https://doi.org/10.3390/math8020268

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/162104

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Title: Initialization Methods for Multiple Seasonal Holt-Winters Forecasting Models
Author: Trull, Oscar García-Díaz, J. Carlos Troncoso, Alicia
UPV Unit: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Issued date:
Abstract:
[EN] The Holt-Winters models are one of the most popular forecasting algorithms. As well-known, these models are recursive and thus, an initialization value is needed to feed the model, being that a proper initialization ...[+]
Subjects: Forecasting , Multiple seasonal periods , Holt-Winters , Initialization
Copyrigths: Reconocimiento (by)
Source:
Mathematics. (eissn: 2227-7390 )
DOI: 10.3390/math8020268
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/math8020268
Type: Artículo

References

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Weron, R. (2014). Electricity price forecasting: A review of the state-of-the-art with a look into the future. International Journal of Forecasting, 30(4), 1030-1081. doi:10.1016/j.ijforecast.2014.08.008

Taylor, J. W. (2003). Short-term electricity demand forecasting using double seasonal exponential smoothing. Journal of the Operational Research Society, 54(8), 799-805. doi:10.1057/palgrave.jors.2601589

Taylor, J. W. (2010). Triple seasonal methods for short-term electricity demand forecasting. European Journal of Operational Research, 204(1), 139-152. doi:10.1016/j.ejor.2009.10.003

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