A COMBINATION FORECAST FOR ENERGY-RELATED CO2 EMISSIONS IN THE UNITED STATES
Abstract
This paper seeks to provide an alternative forecast to that provided by the Energy Information Administration (EIA) on energy-related monthly CO2 emissions in the United States. The data on CO2 emissions from petroleum, natural gas, coal and total fossil fuels obtained via the EIA covering the period January 2005 to November 2013 is analysed and then forecasted using ARIMA, Holt-Winters, and Exponential Smoothing prior to introducing the Singular Spectrum Analysis (SSA) technique for CO2 emissions forecasting. A new combination forecast (EIA-SSA) is also introduced by merging the SSA and EIA forecasts, and is seen outperforming all models including the EIA forecast. Finally, the EIA-SSA model is used to provide an alternative 12 month ahead outlook for US energy-related CO2 emissions from December 2013 to November 2014. This research is expected to influence the methodology adopted by the EIA for forecasting CO2 emissions in the future by improving the accuracy of the forecasts, and the impact of this study will be clearer upon comparing the actual CO2 emissions in US with the EIA, and EIA-SSA forecasts over the 12 month period which follows.
References
- http://www.eia.gov/forecasts/steo/ . Google Scholar
- Conti, J., and Holtberg, P. (2011). Emissions of Greenhouse Gases in the United States 2009. U.S. Energy Information Administration, DOE/EIA-0573(2009), pp. 1–77. Available via: www.eia.gov/environment/emissions/ghg_report/ghg_over view.cfm . Google Scholar
- Applied Energy 88(6), 2273 (2011). Crossref, Google Scholar
- Energies 4(12), 2249 (2011), DOI: 10.3390/en4122249. Crossref, Google Scholar
- Lin, S-M., Li, P-C., Hsu, H-S., and Huang, C-H. (2010). Energy demand and CO2 emission forecasting using State Space and Dynamic CGE models. Available via: www.monash.edu.au/policy/conf/23Lin.pdf . Google Scholar
- Energy 36(5), 3355 (2011), DOI: 10.1016/j.energy.2011.03.032. Crossref, Google Scholar
- Energy Policy 35(3), 1685 (2007), DOI: 10.1016/j.enpol.2006.04.018. Crossref, Google Scholar
- Energy Policy 34(4), 377 (2006), DOI: 10.1016/j.enpol.2004.06.013. Crossref, Google Scholar
- Energy 36(5), 2450 (2011), DOI: 10.1016/j.energy.2011.01.032. Crossref, Google Scholar
- Applied Energy 88(11), 3816 (2011), DOI: 10.1016/j.apenergy.2011.05.013. Crossref, Google Scholar
- Energy 36(1), 1 (2011), DOI: 10.1016/j.energy.2010.10.050. Crossref, Google Scholar
- Energy 35(11), 4494 (2010), DOI: 10.1016/j.energy.2009.04.009. Crossref, Google Scholar
- Energies 6(3), 1456 (2013), DOI: 10.3390/en6031456. Crossref, Google Scholar
- International Journal of Forecasting 25(1), 103 (2009), DOI: 10.1016/j.ijforecast.2008.09.007. Crossref, Google Scholar
- Statistics and its Interface 3(3), 377 (2010), DOI: 10.4310/SII.2010.v3.n3.a11. Crossref, Google Scholar
- Journal of Forecasting 32(5), 395 (2013), DOI: 10.1002/for.2244. Crossref, Google Scholar
- Fluctuation and Noise Letters 9(4), 343 (2010), DOI: 10.1142/S0219477510000289. Link, Google Scholar
- Medical Engineering and Physics 33(3), 362 (2011), DOI: 10.1016/j.medengphy.2010.11.004. Crossref, Google Scholar
- Journal of the Royal Statistical Society: Series A (Statistics in Society) 176(3), 743 (2013), DOI: 10.1111/j.1467-985X.2012.01061.x. Crossref, Google Scholar
- International Journal of Energy and Statistics 1(1), 55 (2013), DOI: 10.1142/S2335680413500051. Link, Google Scholar
- International Journal of Energy and Statistics 1(2), 127 (2013), DOI: 10.1142/S2335680413500099. Link, Google Scholar
- International Journal of Energy and Statistics 1(2), 99 (2013), DOI: 10.1142/S2335680413500075. Link, Google Scholar
- International Journal of Energy and Statistics 1(2), 113 (2013). Link, Google Scholar
- International Journal of Energy and Statistics 1(3), 205 (2013), DOI: 10.1142/S2335680413500142. Link, Google Scholar
- www.eia.gov/forecasts/steo/outlook.cfm . Google Scholar
- www.eia.gov/forecasts/steo/documentation/co2_emissions.pdf . Google Scholar
- www.robjhyndman.com/hyndsight/benchmarks/ . Google Scholar
- Journal of Statistical Software 27(3), 1 (2008). Google Scholar
- Hyndman, R. J., and Athanasopoulos G. (2013). Forecasting: principles and practice. OTexts: Australia. Availble via www.OTexts.com/fpp . Google Scholar
- www.stat.ethz.ch/R-manual/R-patched/library/stats/html/HoltWinters.html . Google Scholar
-
N. Golyandina , V. Nekrutkin and A. Zhigljavsky , Analysis of Time Series Structure: SSA and related techniques ( Chapman and Hall/CRC , 2001 ) . Crossref, Google Scholar - Journal of Data Science 5(2), 239 (2007). Crossref, Google Scholar
- International Journal of Forecasting 13(2), 281 (1997), DOI: 10.1016/S0169-2070(96)00719-4. Crossref, Google Scholar
- Journal of Applied Statistics 38(10), 2183 (2011), DOI: 10.1080/02664763.2010.545371. Crossref, Google Scholar
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