ESTUDIO DEL PRONÓSTICO DE LA DEMANDA DE ENERGIA ELECTRICA, UTILIZANDO MODELOS DE SERIES DE TIEMPO


Authors

  • JOAQUÍN MURILLO S
  • ALVARO TREJOS
  • PATRICIA CARVAJAL OLAYA

Abstract

El presente articulo describe un pronostico de demanda de energía eléctrica, utilizando la metodología ARIMA (Autorregresive-Integrated-Moving Average), y el paquete estadístico SPSS (Statistical package for the social sciences) los datos históricos han sido suministrados por la Empresa de Energía de Pereira y van desde el primero de enero de 2001, hasta el 31 de diciembre de 2001.

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Published

2023-09-28

How to Cite

MURILLO S, J. ., TREJOS, A. ., & CARVAJAL OLAYA, P. . (2023). ESTUDIO DEL PRONÓSTICO DE LA DEMANDA DE ENERGIA ELECTRICA, UTILIZANDO MODELOS DE SERIES DE TIEMPO. Scientia Et Technica, 3(23). Retrieved from https://revistas.utp.edu.co/index.php/revistaciencia/article/view/7379

Issue

Vol. 3 No. 23 (2003)

Section

Industrial

License

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