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Modelling and forecastng daily series of electricity demand

Author

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  • Jose Ramon Cancelo

    (Universidad de La Coruña)

  • Antoni Espasa

    (Universidad Carlos III de Madrid)

Abstract

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Suggested Citation

  • Jose Ramon Cancelo & Antoni Espasa, 1996. "Modelling and forecastng daily series of electricity demand," Investigaciones Economicas, Fundación SEPI, vol. 20(3), pages 359-376, September.
    • Handle: RePEc:iec:inveco:v:20:y:1996:i:3:p:359-376
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    References listed on IDEAS

    as
    1. Cancelo, José Ramón & Espasa, Antoni, 1991. "Forecasting daily demand for electricity with multiple-input nonlinear transfer function models: a case study," UC3M Working papers. Economics 2808, Universidad Carlos III de Madrid. Departamento de Economía.
    2. Espasa, Antoni, 1993. "Modelling daily series of economic activity," DES - Working Papers. Statistics and Econometrics. WS 3682, Universidad Carlos III de Madrid. Departamento de Estadística.
    3. Spanos,Aris, 1986. "Statistical Foundations of Econometric Modelling," Cambridge Books, Cambridge University Press, number 9780521269124.
    4. Espasa, Antoni & Moreno, Diego, 1994. "Consideraciones sobre el empleo," DES - Documentos de Trabajo. Estadística y Econometría. DS 10973, Universidad Carlos III de Madrid. Departamento de Estadística.
    5. Espasa, Antoni & Cancelo, José Ramón & Revuelta, J. Manuel, 1996. "Automatic modelling of daily series of economic activity," DES - Working Papers. Statistics and Econometrics. WS 3356, Universidad Carlos III de Madrid. Departamento de Estadística.
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    Citations

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    Cited by:

    1. Cancelo, José Ramón & Espasa, Antoni & Grafe, Rosmarie, 2008. "Forecasting the electricity load from one day to one week ahead for the Spanish system operator," International Journal of Forecasting, Elsevier, vol. 24(4), pages 588-602.
    2. Furió, Dolores, 2011. "A Survey on the Spanish Electricity Intraday Market/El mercado de electricidad español: el mercado intradiario," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 29, pages 657(20.)-65, Agosto.
    3. Pardo, Angel & Meneu, Vicente & Valor, Enric, 2002. "Temperature and seasonality influences on Spanish electricity load," Energy Economics, Elsevier, vol. 24(1), pages 55-70, January.
    4. Bakhat, Mohcine & Rosselló, Jaume, 2011. "Estimation of tourism-induced electricity consumption: The case study of Balearics Islands, Spain," Energy Economics, Elsevier, vol. 33(3), pages 437-444, May.
    5. Antonio Rubia, 2001. "Testing For Weekly Seasonal Unit Roots In Daily Electricity Demand: Evidence From Deregulated Markets," Working Papers. Serie EC 2001-21, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    6. Óscar Trull & J. Carlos García-Díaz & Alicia Troncoso, 2019. "Application of Discrete-Interval Moving Seasonalities to Spanish Electricity Demand Forecasting during Easter," Energies, MDPI, vol. 12(6), pages 1-16, March.
    7. Espasa, Antoni & Carlomagno Real, Guillermo, 2023. "Tall big data time series of high frequency: stylized facts and econometric modelling," DES - Working Papers. Statistics and Econometrics. WS 37746, Universidad Carlos III de Madrid. Departamento de Estadística.
    8. Webel, Karsten, 2022. "A review of some recent developments in the modelling and seasonal adjustment of infra-monthly time series," Discussion Papers 31/2022, Deutsche Bundesbank.
    9. Cristina Miranda & Reinaldo Castro Souza & Mônica Barros & Cristina Vidigal Cabral de Miranda, 2007. "Short Term Demand Forecasting Using Double Exponential Smoothing and Interventions to Account for Holidays and Temperature Effects," EcoMod2007 23900058, EcoMod.
    10. Dordonnat, V. & Koopman, S.J. & Ooms, M. & Dessertaine, A. & Collet, J., 2008. "An hourly periodic state space model for modelling French national electricity load," International Journal of Forecasting, Elsevier, vol. 24(4), pages 566-587.
    11. Cancelo, José Ramón & Espasa, Antoni & Grafe, Rosmarie, 2007. "Forecasting from one day to one week ahead for the Spanish system operator," DES - Working Papers. Statistics and Econometrics. WS ws078418, Universidad Carlos III de Madrid. Departamento de Estadística.

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