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Forecasting Electricity Demand Using Generalized Long Memory

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Soares, Lacir Jorge
Souza, Leonardo Rocha

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Paper provided by Graduate School of Economics, Getulio Vargas Foundation (Brazil) in its series Economics Working Papers (Ensaios Economicos da EPGE) with number 486.

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Date of creation: 29 Jun 2003
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Handle: RePEc:fgv:epgewp:486

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Laurent Ferrara ; Dominique Guegan, . "Estimation and Applications of Gegenbauer Processes," Working Papers 99-27, Centre de Recherche en Economie et Statistique. [Downloadable!]
  2. Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, vol. 73(1), pages 5-59, July. [Downloadable!] (restricted)
  3. Darbellay, Georges A. & Slama, Marek, 2000. "Forecasting the short-term demand for electricity: Do neural networks stand a better chance?," International Journal of Forecasting, Elsevier, vol. 16(1), pages 71-83. [Downloadable!] (restricted)
  4. Ray, Bonnie K., 1993. "Long-range forecasting of IBM product revenues using a seasonal fractionally differenced ARMA model," International Journal of Forecasting, Elsevier, vol. 9(2), pages 255-269, August. [Downloadable!] (restricted)
  5. Ferrara, Laurent & Guegan, Dominique, 2001. "Forecasting with k-Factor Gegenbauer Processes: Theory and Applications," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 20(8), pages 581-601, December.
  6. Armstrong, J. Scott & Collopy, Fred, 1992. "Error measures for generalizing about forecasting methods: Empirical comparisons," International Journal of Forecasting, Elsevier, vol. 8(1), pages 69-80, June. [Downloadable!] (restricted)
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  1. Jose Ramon Cancelo & Antoni Espasa & Rosemarie Grafe, 2007. "Forecasting from one day to one week ahead for the Spanish system operator," Statistics and Econometrics Working Papers ws078418, Universidad Carlos III, Departamento de Estadística y Econometría. [Downloadable!]
  2. Guglielmo Maria Caporale & Juncal Cunado & Luis A. Gil-Alana, 2008. "Modelling Long-Run Trends and Cycles in Financial Time Series Data," CESifo Working Paper Series CESifo Working Paper No. , CESifo Group Munich. [Downloadable!]
  3. Souza, Leonardo Rocha & Soares, Lacir Jorge, 2003. "Forecasting Electricity Load Demand: Analysis of the 2001 Rationing Period in Brazil," Economics Working Papers (Ensaios Economicos da EPGE) 491, Graduate School of Economics, Getulio Vargas Foundation (Brazil). [Downloadable!]
  4. V. Dordonnat & S.J. Koopman & M. Ooms & A. Dessertaine & J. Collet, 2008. "An Hourly Periodic State Space Model for Modelling French National Electricity Load," Tinbergen Institute Discussion Papers 08-008/4, Tinbergen Institute. [Downloadable!]
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