Forecasting Carbon Dioxide Emission for Malaysia Using Fractional Order Multivariable Grey Model
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-98741-1_14
Reference15 articles.
1. Xiao, L., Wang, H., Duan, M.: The optimization of grey model GM (1,1) based on posterior error. In: 2020 5th International Conference on Control Robot cybernetics CRC 2020, pp. 87–91
2. Hu, Y.-C.: Energy demand forecasting using a novel remnant GM(1,1) model. Soft. Comput. 24(18), 13903–13912 (2020). https://doi.org/10.1007/s00500-020-04765-3
3. Ma, L., Li, J., Zhao, Y.: Population forecast of China’s rural community based on CFANGBM and improved aquila optimizer algorithm, 1–30 (2021)
4. Qian, W., Sui, A.: A novel structural adaptive discrete grey prediction model and its application in forecasting renewable energy generation. Expert Syst. Appl. 186, 115761 (2021)
5. Duan, H., Liu, Y.: Research on a grey prediction model based on energy prices and its applications. Comput. Ind. Eng. 162, 107729 (2021)
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