[1] |
Liu, S. F.; Lin, Y., Grey Systems: Theory And Applications (2010), Springer-Verlag London Ltd · Zbl 1222.93001 |
[2] |
Wang, Z. X.; Hao, P., An improved grey multivariable model for predicting industrial energy consumption in China, Appl. Math. Model., 40, 11-12, 5745-5758 (2016) |
[3] |
Xie, M.; Wu, L. F.; Li, B., A novel hybrid multi-variate nonlinear grey model for forecasting the traffic-related emissions, Appl. Math. Modell., 77, 1242-1254 (2020) · Zbl 1481.91146 |
[4] |
Duan, H. M.; Wang, D.; Pang, X. Y.; Liu, Y.; Zeng, S., A novel forecasting approach based on multi-kernel nonlinear multivariable grey model: A case report, J. Cleaner Prod., 260 (2020) |
[5] |
Ma, X.; Xie, M.; Wu, W., The novel fractional discrete multivariate grey system model and its applications, Appl. Math. Modell., 70, 402-424 (2019) · Zbl 1464.62389 |
[6] |
Zeng, B.; Luo, C. M.; Liu, S. F.; Bai, Y.; Li, C., Development of an optimization method for the GM(1,N) model, Eng. Appl. Artif. Intell., 55, 353-362 (2016) |
[7] |
Mao, S. H.; Gao, M. Y.; Xiao, X. P., Fractional order accumulation time-lag GM(1,N, τ) model and its application, Syst. Eng. Theor. Pract., 35, 430-436 (2015) |
[8] |
Ding, S.; Dang, Y. G.; Xu, N., Construction and application of GM(1,N) model based on virtual variable control, Control Decis., 33, 309-315 (2018) · Zbl 1413.93003 |
[9] |
Guo, H.; Xiao, X. P.; Forrest, J., A research on a comprehensive adaptive grey prediction model CAGM(1,N), Appl. Math. Comput., 225, 216-227 (2013) · Zbl 1336.93011 |
[10] |
Jiang, S. Q.; Liu, S. F., Optimization of background value in GM(1,1) based on compound trapezoid formula, Control Decis., 29, 2221-2225 (2014) |
[11] |
Hsu, L. C., Forecasting the output of integrated circuit industry using genetic algorithm based multivariable grey optimization models, Expert Syst. Appl., 36, 7898-7903 (2009) |
[12] |
Lao, T.; Chen, X.; Zhu, J., The optimized multivariate grey prediction model based on dynamic background value and its application, Complexity, 2021, 1-13 (2021) |
[13] |
Ding, S.; Dang, Y. G.; Xu, N., Construction and optimization of approximate nonhomogeneous exponential decreasing sequence NGO (1,1) model, Control Decis., 32, 1457-1464 (2017) · Zbl 1399.93010 |
[14] |
Zhao, L. D.; Wang, H. X., Research on non-equidistant multivariable grey prediction model based on initial condition optimization, Fuzzy Syst. Math., 33, 136-142 (2019) · Zbl 1438.93134 |
[15] |
Xiong, P. P.; Dang, Y. G.; Yao, T. X., A non-equidistant GM (1,1) modeling method based on initial condition optimization, Control Decis., 30, 2097-2102 (2015) · Zbl 1349.93056 |
[16] |
Wang, Y.; Nie, R.; Ma, X., A novel Hausdorff fractional NGMC(p,n) grey prediction model with Grey Wolf Optimizer and its applications in forecasting energy production and conversion of China, Appl. Math. Modell., 97, 381-397 (2021) · Zbl 1481.91132 |
[17] |
Yin, F. F.; Zeng, B., A novel multivariable grey prediction model with different accumulation orders and performance comparison, Appl. Math. Modell., 109, 117-133 (2022) · Zbl 1505.62517 |
[18] |
Luo, Y.; Liu, Q., The non-homogenous multi-variable grey model nfmgm (1,N) with fractional order accumulation and its application, Grey Syst., 29, 39-52 (2017) |
[19] |
Ye, J.; Dang, Y.; Ding, S., A novel energy consumption forecasting model combining an optimized DGM(1,1) model with interval grey numbers, J. Cleaner Prod., 229, 256-267 (2019) |
[20] |
Yang, Y.; Xue, D. Y., An actual load forecasting methodology by interval grey modeling based on the fractional calculus, ISA Trans., 82, 200-209 (2018) |
[21] |
Zeng, X. Y.; Shu, L.; Jiang, J., Fuzzy time series forecasting based on grey model and Markov Chain, IAENG Int. J. Appl. Math., 46, 464-472 (2016) · Zbl 1512.62083 |
[22] |
Wu, L. F.; Liu, S. F.; Yan, S. L., Grey prediction model for hybrid sequence, Control Decis., 28, 1912-1914 (2013) |
[23] |
Huang, H. L.; Tao, Z. F.; Liu, J. P., Exploiting fractional accumulation and background value optimization in multivariate interval grey prediction model and its application, Eng. Appl. Artif. Intell., 104, Article 104360 pp. (2021) |
[24] |
Li, S. L.; Zeng, B.; Meng, W., Unbiased interval grey number prediction model based on Clem rule and its application, Control Decis., 33, 2258-2262 (2018) · Zbl 1424.93014 |
[25] |
Xiong, T.; Bao, Y. K.; Hu, Z. Y., Interval forecasting of electricity demand: a novel bivariate EMD-based support vector regression modeling framework, Int. J. Electr. Power Energy Syst., 63, 353-362 (2014) |
[26] |
Yadav, N.; Chakraborty, N.; Tewari, A., Interval prediction machine learning models for predicting experimental thermal conductivity of high entropy alloys, Comput. Mater. Sci., 214, Article 111754 pp. (2022) |
[27] |
Zeng, X. Y.; Wang, M. Y.; He, F. L., Matrix grey models for forecasting interval number time series, J. Grey Syst., 31, 72-90 (2019) |
[28] |
Zeng, X. Y.; Yan, S. L.; He, F. L.; Shi, Y., Multi-variable grey model based on dynamic background algorithm for forecasting the interval sequence, Appl. Math. Modell., 80, 99-114 (2020) · Zbl 1481.62075 |
[29] |
Zeng, X. Y.; Shu, L.; Yan, S. L., A novel multivariate grey model for forecasting the sequence of ternary interval numbers, Appl. Math. Model., 69, 273-286 (2019) · Zbl 1464.62525 |
[30] |
Liu, S. F.; Dang, Y. G.; Fang, Z. G., Grey System Theory and Application (2010), Science Press |
[31] |
Luo, D.; Liu, S. F.; Dang, Y. G., Grey model GM(1,1) optimization, Chinese, Eng. Sci., 5, 50-53 (2003) |
[32] |
Liu, S. F.; Yang, Y. J.; Forrest, J., Grey Data Analysis: Methods, Models and Applications (2016), Springer-Verlag |
[33] |
Liu, J. F.; Liu, S. F.; Fang, Z. G., Prediction model of continuous interval grey number based on the kernel and grey radius, Syst. Eng., 31, 61-64 (2013) |
[34] |
Zeng, B.; Li, C., Improved multi-variable grey forecasting model with a dynamic background value coefficient and its application, Comput. Ind. Eng., 118, 278-290 (2018) |
[35] |
Zeng, B.; Li, H.; Ma, X., A novel multi-variable grey forecasting model and its application in forecasting the grain production in China, Comput. Ind. Eng., 150, Article 106915 pp. (2020) |
[36] |
Liu, Z.; Dang, Y. G.; Wei, L., Optimization of background value and time response function in NGM(1,1,k), Control Decis., 31, 2225-2231 (2016) · Zbl 1389.93022 |
[37] |
Ding, S.; Li, R. J.; Tao, Z., A novel adaptive discrete grey model with time- varying parameters for long-term photovoltaic power generation forecasting, Energy Convers. Manag., 227, Article 113644 pp. (2021) |
[38] |
Zhang, M.; Guo, H.; Sun, M., A novel flexible grey multivariable model and its application in forecasting energy consumption in China, Energy, 239, Article 122441 pp. (2022) |
[39] |
Xiao, X. P.; Mao, SH., Grey Prediction and Decision-Making Methods (2013), Science Press: Science Press Beijing |
[40] |
Xu, N.; Dang, Y.; Gong, Y., Novel grey prediction model with nonlinear optimized time response method for forecasting of electricity consumption in, China Energy, 118, 473-480 (2017) |
[41] |
Special topic: nutritional dietary guidance for the prevention and treatment of pneumonia caused by novel coronavirus infection, Food Life, 2, 4-5 (2020) |
[42] |
Editorial committee of china dairy yearbook, China Dairy Yearbook 2020 (2021), China Agriculture Press |