Title: ANALYSING AND FORECASTING EUROPEAN UNION ENERGY DATA
Abstract: International Journal of Energy and StatisticsVol. 01, No. 02, pp. 127-141 (2013) No AccessANALYSING AND FORECASTING EUROPEAN UNION ENERGY DATACHRISTINA BENEKI and EMMANUEL SIRIMAL SILVACHRISTINA BENEKIDepartment of Business Administration, Technological Educational Institution of Ionian Islands, Kefallinia, Greece Search for more papers by this author and EMMANUEL SIRIMAL SILVADepartment of Business Administration, Technological Educational Institution of Ionian Islands, Kefallinia, Greece Search for more papers by this author https://doi.org/10.1142/S2335680413500099Cited by:20 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail AbstractThe incessantly growing demand for energy consumption and the significance of the availability of sustainable energy for achieving long term economic growth defines the importance of forecasting energy statistics. This paper analyses and forecasts actual energy consumption data for EU-27 nations using both parametric and nonparametric time series forecasting techniques. Singular Spectrum Analysis (SSA) is adopted as the nonparametric time series analysis and forecasting technique and the results from SSA are compared with ARIMA, which is a parametric forecasting technique.Keywords:Electricity consumptionRenewable electricity consumptionPrimary energy consumptionForecastingSingular Spectrum AnalysisARIMAParametricNonparametric References M. Mucuk and D. Uysal, Current Research Journal of Social Sciences 1(3), 123 (2005). Google ScholarV. Bianco, O. Manca and S. Nardini, Energy 34(9), 1413 (2009). Crossref, Google ScholarD. S. Broomhead and G. P. King, Physica D: Nonlinear Phenomena 20(3), 217 (1986). Crossref, Google Scholar D. S. Broomhead and G. P. King , Nonlinear Phenomena and Chaos , ed. S. Sarkar ( Adam Hilger , Bristol , 1986 ) . Google ScholarH. Hassani, A. S. Soofi and A. 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Publication Year: 2013
Publication Date: 2013-06-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 25
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