Study of carbon dioxide emissions prediction in Hebei province, China using a BPNN based on GA
Tóm tắt
Từ khóa
Tài liệu tham khảo
2015, Embodied carbon emissions of foreign trade under the global financial crisis: A case study of Jiangsu province, China, J. Renewable Sustainable Energy, 7, 043110, 10.1063/1.4926803
China Development and Reform Commission, http://www.gov.cn/2011lh/content_1825838.htm for National Economic and Social Development of China in the “Twelfth Five-Year” Period, 2010.
2006, A multi-factor efficiency perspective to the relationships among world GDP, energy consumption and carbon dioxide emissions, Technol. Forecasting Soc. Change, 73, 483, 10.1016/j.techfore.2005.06.012
2007, Energy consumption, income, and carbon emissions in the United States, Ecol. Econ., 62, 482, 10.1016/j.ecolecon.2006.07.009
See http://www.bp.com/content/dam/bp/pdf/Energy-economics/Energy-Outlook/Energy_Outlook_2035_booklet.pdf for BP Statistical Review of World Energy 2014.
2011, Changing lifestyles towards a low carbon economy: An IPAT analysis for China, Energies, 5, 22, 10.3390/en5010022
2012, Decomposition analysis of the mechanism behind the spatial and temporal patterns of changes in carbon bio-sequestration in China, Energies, 5, 386, 10.3390/en5020386
2013, Forecasting energy CO2 emissions using a quantum harmony search algorithm-based DMSFE combination model, Energies, 6, 1456, 10.3390/en6031456
2015, Empirical research on China's carbon productivity decomposition model based on multi-dimensional factors, Energies, 8, 3093, 10.3390/en8043093
2014, Study on influencing factors of carbon emissions from energy consumption of Shandong province of China from 1995 to 2012, Sci. World J., 2014, 684796, 10.1155/2014/684796
2011, Scenario analysis of China's primary energy demand and CO2 emissions based on IPAT model, Energy Procedia, 5, 365, 10.1016/j.egypro.2011.03.062
2013, Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong province, China, Appl. Energy, 106, 65, 10.1016/j.apenergy.2013.01.036
2013, Decomposition of Ireland's carbon emissions from 1990 to 2010: An extended Kaya identity, Energy Policy, 59, 573, 10.1016/j.enpol.2013.04.013
2013, The optimal CO2 emissions reduction path in Jiangsu province: An expanded IPAT approach, Appl. Energy, 112, 1510, 10.1016/j.apenergy.2013.02.046
2011, Influencing factors and scenario forecasting of China's low carbon economy, Resour. Sci., 33, 844
2007, Potential futures for road transportation CO2 emissions in the Asia Pacific, Asia Pac. Viewpoint, 48, 355, 10.1111/j.1467-8373.2007.00353.x
2013, Forecast carbon emissions of provinces in China based on Logistic model, Resour. Environ. Yangtze Basin, 22, 143
2012, China's carbon emissions prediction model based on support vector regression, J. China Univ. Pet., 36, 182
1998, Forecasting with artificial neural networks: The state of the art, Int. J. Forecasting, 14, 35, 10.1016/S0169-2070(97)00044-7
2001, A simulation study of artificial neural networks for nonlinear time-series forecasting, Comput. Oper. Res., 28, 381, 10.1016/S0305-0548(99)00123-9
2015, Application of improved artificial neural networks in short-term power load forecasting, J. Renewable Sustainable Energy, 7, 043106, 10.1063/1.4926771
1975, Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
See http://web.cenet.org.cn/upfile/77222.pdf for China's sustainable development of energy and carbon emission scenario analysis provided comprehensive report [EB/OL].
National Bureau of Statistics of the People's Republic of China, http://www.stats.gov.cn/tjsj/ndsj/2014/indexch.htm for China Statistic Yearbook, China, 2014.
Hebei Statistic Bureau, http://110.249.220.86/hetj/tjsj/ndsj/101416551730840.html for Hebei Statistic Yearbook, Hebei, China, 2014.
