Time series prediction using the regression model
DOI:
https://doi.org/10.54571/ajee.480Keywords:
Time series: Indice of Red Electríca de España, demand of electricity, buildings construction, regression model, time series prediction, software: forecast, R, TSstudioAbstract
In this paper, it is shown how the prediction of a time series can be achieved using the regression model. The time series Indice of Red Eléctrica de España, REE, section: demand of electricity for buildings cons[1]truction, from January 2020 to August 2020, it is used as an illustration.
Downloads
References
BOX, G. E. P. y JENKINS, G. M., Time Series Analysis: Forecasting and Control. San Francisco: Holden-Day, 1976.
BOX, G. E. P.; JENKINS, G. M. y REINSEL, G. C., Time Series Analysis: Forecasting and Control, tercera edición. Englewood Cliffs: Prentice-Hall, 1994.
CRAN, The Comprehensive R Archive Network. http://cloud.r-project.org/ (http://cloud.r-project.org/) HYNDMAN, R. J. y colaboradores. fpp2, programa descargable desde CRAN.
HYNDMAN, R. J. y ATHANASOPOULOS, G., Forecasting, Principles and Practice, segunda edición. O.Texts. www.otexts.org/fpp2/, 2018.
HYNDMAN R. J. y KHANDAKAR, Y., Automatic Time Series Forecasting: The forecast Package for R. Journal of Statistical Software, 27(2008)1-22 DOI: https://doi.org/10.18637/jss.v027.i03
KRISPIN, R., Hands-On Time Series Analysis with R., Birminghan: Packt Publishing, 2019.
KRISPIN, R., TSstudio, programa descargable desde CRAN.
Red Eléctrica de España, www.ree.es/es/data/publicaciones/indice-redeléctrica.