References
- Abdel-Aal, R. E., and A. Z. Al-Garni. 1997. Forecasting monthly electric energy consumption in eastern Saudi Arabia using univariate time-series analysis. Energy 22 (11):1059–69. doi:10.1016/S0360-5442(97)00032-7.
- BP. 2017. BP Statistical Review of World Energy, 1965–2016. London, Britain: British Petroleum.
- CDIAC. 2011. Caron Dioxide Information Analysis Center. Tennessee, USA: Carbon Dioxide Information Analysis Center.
- Ediger, V., and S. Akar. 2007. ARIMA forecasting of primary energy demand by fuel in Turkey. Energy Policy 35:1701–08. doi:10.1016/j.enpol.2006.05.009.
- Hao, Y., Z.-Y. Zhang, H. Liao, and Y.-M. Wei. 2015. China’s farewell to coal: A forecast of coal consumption through 2020. Energy Policy 86:444–55. doi:10.1016/j.enpol.2015.07.023.
- IEA. 2014. Carbon Dioxide from Fuel Combustion. Paris, France: International Energy Agency.
- Macgregor, J. 2017. Determining an optimal strategy for energy investment in Kazakhstan. Energy Policy 107.
- Mohamed, Z., and P. Bodger. 2005. Forecasting electricity consumption in New Zealand using economic and demographic variables. Energy 30:1833–43. doi:10.1016/j.energy.2004.08.012.
- NBSC. 2016. National Bureau of Statistics of the People’s Republic of China. Beijing, China.
- Sen, P., M. Roy, and P. Pal. 2016. Application of ARIMA for forecasting energy consumption and GHG emission: a case study of an Indian pig iron manufacturing organization. Energy 116:1031–38. doi:10.1016/j.energy.2016.10.068.
- Siew, L. Y., L. Y. Chin, and M. J. Wee. 2008. ARIMA and integrated ARFIMA models for forecasting air pollution index in Shah Alam, Selangor. Malays Journal Analysis Sciences 12 (1):257–63.
- Yao, T., and Y.-J. Zhang. 2017. Forecasting crude oil prices with the Google index. Energy Procedia 105:3772–76. doi:10.1016/j.egypro.2017.03.880.
- Yeboah, S., M. Ohene, and T. B. Wereko. 2012. Forecasting aggregate and disaggregate energy consumption using ARIMA models: a literature survey. Journal Statistical Economics Methods 1 (2):71–79.
- Yu, S., S. Zheng, S. Gao, and J. Yang. 2017. A multi-objective decision model for investment in energy savings and emission reductions in coal mining. European Journal of Operational Research 260 (1):335–47. doi:10.1016/j.ejor.2016.12.023.
- Zhang, Y., M. Zhang, Y. Liu, and R. Nie. 2017. Enterprise investment, local government intervention and coal overcapacity: the case of china. Energy Policy 101:162–69. doi:10.1016/j.enpol.2016.11.036.