Prévision non paramétrique de la consommation électrique

J. M. Poggi

Revue de Statistique Appliquée (1994)

  • Volume: 42, Issue: 4, page 83-98
  • ISSN: 0035-175X

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Poggi, J. M.. "Prévision non paramétrique de la consommation électrique." Revue de Statistique Appliquée 42.4 (1994): 83-98. <http://eudml.org/doc/106366>.

@article{Poggi1994,
author = {Poggi, J. M.},
journal = {Revue de Statistique Appliquée},
language = {fre},
number = {4},
pages = {83-98},
publisher = {Société de Statistique de France},
title = {Prévision non paramétrique de la consommation électrique},
url = {http://eudml.org/doc/106366},
volume = {42},
year = {1994},
}

TY - JOUR
AU - Poggi, J. M.
TI - Prévision non paramétrique de la consommation électrique
JO - Revue de Statistique Appliquée
PY - 1994
PB - Société de Statistique de France
VL - 42
IS - 4
SP - 83
EP - 98
LA - fre
UR - http://eudml.org/doc/106366
ER -

References

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  1. Ango Nze P., Doukhan P. (1993), Functional estimation for time series : a general approach, (à paraître), Prepublication mathématique d'Orsay, 93-43. Zbl0779.62072
  2. Ango Nze P., Doukhan P. (1993), Estimationfonctionnelle de séries temporelles mélangeantes, C.R.A.S. Paris, t. 317, Serie I, p. 405-408. Zbl0779.62072MR1235458
  3. Auestad B., Tjostheim D. (1990), Identification ofnon linear time series : First order characterization and order determination, Biometrika, 77, 4, p. 669-687. MR1086681
  4. Auestad B., Tjostheim D. (1991), Functional identification in non linear time series, in G. Roussas (ed.), Non parametric functional estimation and related topics, NATO ASI Series, Kluwer Acad. Pub., p. 493-507. Zbl0727.62082MR1154348
  5. Bosq D. (1991), Non parametric prediction for unbounded almost stationary processes, in G. Roussas (ed.), Non parametric functional estimation and related topics, NATO ASI Series, Kluwer Acad. Pub., p. 389-403. Zbl0768.62083MR1154341
  6. Bosq D., Lecoutre J.P. (1987), Théorie de l'estimation fonctionnelle, Economica. 
  7. Bosq D., Lecoutre J.P. (1992), Analyse et prévision des séries chronologiques; méthodes paramétriques et non paramétriques, Masson. 
  8. Carb On M., Delecroix M. (1987), Comparaison de méthodes paramétrique et non paramétrique de prévision, Pub. IRMA, Lille, vol. 9, n° 11. 
  9. Doukhan P. (1994), Mixing : properties and examples, lecture note in Statistics, n°85, Springer Verlag. Zbl0801.60027MR1312160
  10. Duflo M. (1990), Méthodes récursives aléatoires, Masson. Zbl0703.62084MR1082344
  11. Engle R.F., Granger C.W.J., Rice J., Weiss A. (1986), Semiparametric estimates of the relation between weather and electricity sales, J.A.S.A., vol 81, 394, p. 311-320, june. 
  12. Ernoult M., Mattatia R. (1984), Prévision à court terme de la courbe de charge de la consommation électrique, EDF Bulletin de la DER, Ser. B, 3, p. 37-44. 
  13. Gannoun A. (1990), Estimation non paramétrique de la médiane conditionnelle : médianogramme et méthode du noyau. Application à la prévision des processus, Pub. de l'I.S.U.P., XXXV, 1, p. 11-22. 
  14. Györfi L., Härdle W., Sarda P., Vieu P. (1989), Non parametric curve estimation from time series, Lecture Notes in Statistics, 60, Springer Verlag. Zbl0697.62038MR1027837
  15. Härdle W. (1990), Applied nonparametric regression, Cambridge University Press. Zbl0714.62030MR1161622
  16. Härdle W., Vieu P. (1992), Kernel regression smoothing of time series, Journal of Time Series Analysis, vol. 13, n 3, p. 209-232. Zbl0759.62016MR1168165
  17. Harvey A., Koopman S.J. (1993), Forecasting hourly electricity demand using time-varying splines, J.A.S.A., vol 88, 424, p. 1228- 1236, dec. 
  18. Karanta I., Ruusunen J. (1991), Short term load forecasting in communal electric utilities, Helsinki Univ. of Technology, Research report A40, may . 
  19. Misiti M., Misiti Y., Oppenheim G., Poggi J.M. (1993), Prévision fonctionnelle de la courbe de charge électrique, Rapport de contrat de recherche EDF, sept. 
  20. Papon M. (1992), Evaluer l'impact de l'aléa climatique sur la consommation d'électricité, EDF-DER, Epure, 36, oct. 
  21. Priestley M.B. (1988), Non linear and non stationary time series analysis, Academic Press, 1988. Zbl0687.62072
  22. Robinson P.M. (1983), Nonparametric estimatorsfor time series, Journal of Time Series Analysis, 4, p. 185-207. Zbl0544.62082MR732897
  23. Roussas G. (1991), Recursive estimation of the transition distribution function of a Markov process : asymptotic normality, Statistics and Probability Letters, 11, p. 435-447. Zbl0735.62082MR1114534
  24. Roussas G. (1991), Estimation of transition distribution function and its quantiles in Markov processes : strong consistency and asymptotic normality, in G. Roussas (ed.), Non parametric functional estimation and related topics, NATO ASI Series, Kluwer Acad. Pub., p. 443-462. Zbl0735.62081MR1154345
  25. Roussas G., Tran L.T. (1992), Asymptotic normality of the recursive kernel regression estimate under dependence conditions, Annals of Statistics, vol. 20, n 1, p. 98-120. Zbl0925.62171MR1150336
  26. Senoussi R. (1991), Loi du log itéré uniforme pour des martingales et estimation récursive de modèles markoviens contrôlés, Thèse d'état, Univ. Paris-Sud. 
  27. Truong Y.K., Stone C.J. (1992), Nonparametric function estimation involving time series, Annals of Statistics, 20, 1, p. 77-97. Zbl0764.62038MR1150335
  28. Tong H. (1990), Non linear time series. A dynamical approach, OxfordScience Publications. Zbl0716.62085
  29. Vieu P. (1991), Quadratic errors for nonparametric estimates under dependence, Journal of Multivariate Analysis, vol. 39, n 2, p. 324 -347. Zbl0751.62022MR1147126
  30. VIEUP. (1991), Nonparametric regression : optimal local bandwidth choice, J.R.S.S., Ser. B, 53, n 2, p. 453- 464. Zbl0800.62217MR1108340
  31. Yakowitz S. (1985), Markov flow models and the flood warning problem, Water resources research, vol. 21, n1, p. 81-88. 
  32. Yakowitz S. (1987), Nearest-neighbour methodsfor time series, Journal of Time Series Analysis, vol. 8, p. 235-247. Zbl0615.62115MR886141
  33. Yakowitz S. (1989), Nonparametric density and regression, Journal of Multivariate Analysis, vol. 30, p. 124-136. Zbl0701.62049MR1003712
  34. Youndjé E., Sarda P., Vieu P., (1993), Estimateur à noyau d'une densité conditionnelle : choix de la fenêtre pour des observations dépendantes, CRAS, Paris, Ser. I, t. 316, p. 935-938. Zbl0774.62041MR1218292

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