Forecasting of energy production and consumption in Asturias (northern Spain)
S Gonzales Chavez,
J Xiberta Bernat and
H Llaneza Coalla
Energy, 1999, vol. 24, issue 3, 183-198
Abstract:
Univariate Box-Jenkins time-series analyses (ARIMA models), were used for modeling and forecasting future energy production and consumption in Asturias. Initially, each series was recorded monthly from 1980 to 1996. These data include trend and seasonal variations which allow the use of ARIMA (AutoRegressive Integrated Moving Average) univariate models for predictions of future behavioral patterns. The optimum forecasting models obtained for each energetic series, have a satisfactory degree of statistical validity (low approximation errors) and are suitable for use as reference inputs in a regional energetic plan for the period 1997–98.
Date: 1999
References: View complete reference list from CitEc
Citations: View citations in EconPapers (36)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544298000991
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:24:y:1999:i:3:p:183-198
DOI: 10.1016/S0360-5442(98)00099-1
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().