RT info:eu-repo/semantics/article
T1 A proposal for measuring and comparing seasonal variations in hourly economic time series
A1 Caceres-Hernandez, J. J.
A1 Martín Rodríguez, Carmen Gloria
A1 Jonay Hernandez-Martin
A2 Economía Aplicada y Métodos Cuantitativos
K1 Hourly data
K1 Seasonal variations 
K1 Splines
K1 Dissimilarity 
K1 Complementarity
AB Hourly data usually exhibit complex seasonal variations characterized by yearly, monthly, weekly or daily seasonal patterns. Each seasonal variation is modelled by using an evolving spline function in such a way that a seasonal effect at a proportion of the seasonal period is defined as a non-fixed parametric formulation of this proportion. Subsequently, the areas under the splines are proposed as a useful tool to measure the changes in the magnitude of seasonal variations over time, and to compare the relevance of seasonal variations with different seasonal periods. Furthermore, two indexes are suggested to compare seasonal variations with the same seasonal period in different time series: a dissimilarity index accounts for the area between the splines corresponding to the seasonal variation for each series, whereas a complementarity index accounts for this area when seasonal effects have opposite signs. The proposal is illustrated by applying it to hourly series of energy demand in Canary Islands.
YR 2022
FD 2022
LK http://riull.ull.es/xmlui/handle/915/39631
UL http://riull.ull.es/xmlui/handle/915/39631
LA Inglés
NO DOI: 10.1007/s00181-021-02079-3
DS Repositorio institucional de la Universidad de La Laguna
RD 19-dic-2024