Resumen

VELASQUEZ HENAO, JUAN DAVID; OLAYA MORALES, YRIS  y  FRANCO CARDONA, CARLOS JAIME. TIME SERIES ANALYSIS AND FORECASTING IN ENERGY MARKETS USING THE R LANGUAGE. Dyna rev.fac.nac.minas [online]. 2011, vol.78, n.165, pp.287-296. ISSN 0012-7353.

Time series analysis and forecasting of economic variables are central research topics in the energy field. In this paper, we review the main aspects of the R language for statistical computing, and we stress the potential usefulness for researchers and practitioners of energy markets. Also, we review the main available functions for time series analysis and forecasting, and we present some example of their use.

Palabras clave : R-project; statistical software; demand; prices; production.

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