A novel composite forecasting framework by adaptive data preprocessing and optimized nonlinear grey Bernoulli model for new energy vehicles sales

[1]  Wenqing Wu,et al.  Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model , 2019, Renewable Energy.

[2]  Song Ding,et al.  Forecasting the sales and stock of electric vehicles using a novel self-adaptive optimized grey model , 2021, Eng. Appl. Artif. Intell..

[3]  Lingling Pei,et al.  An optimised grey buffer operator for forecasting the production and sales of new energy vehicles in China. , 2019, The Science of the total environment.

[4]  R. Eberhart,et al.  Comparing inertia weights and constriction factors in particle swarm optimization , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

[5]  Li-Chang Hsu,et al.  A genetic algorithm based nonlinear grey Bernoulli model for output forecasting in integrated circuit industry , 2010, Expert Syst. Appl..

[6]  Yaoguo Dang,et al.  Grey-Markov prediction model based on background value optimization and central-point triangular whitenization weight function , 2018, Commun. Nonlinear Sci. Numer. Simul..

[7]  Lingcun Kong,et al.  Comparison study on the nonlinear parameter optimization of nonlinear grey Bernoulli model (NGBM(1, 1)) between intelligent optimizers , 2018, Grey Syst. Theory Appl..

[8]  F. Diebold,et al.  Comparing Predictive Accuracy , 1994, Business Cycles.

[9]  Song Ding,et al.  A novel adaptive discrete grey model with time-varying parameters for long-term photovoltaic power generation forecasting , 2021 .

[10]  Chun-I Chen,et al.  Forecasting Taiwan's major stock indices by the Nash nonlinear grey Bernoulli model , 2010, Expert Syst. Appl..

[11]  Weijie Zhou,et al.  The grey generalized Verhulst model and its application for forecasting Chinese pig price index , 2020, Soft Comput..

[12]  Cui Li-zhi New strengthening buffer operators and their applications , 2010 .

[13]  Andrew Lewis,et al.  Grey Wolf Optimizer , 2014, Adv. Eng. Softw..

[14]  Song Ding,et al.  A novel discrete grey multivariable model and its application in forecasting the output value of China's high-tech industries , 2019, Comput. Ind. Eng..

[15]  Chong Li,et al.  Comparative analysis of properties of weakening buffer operators in time series prediction models , 2019, Commun. Nonlinear Sci. Numer. Simul..

[16]  Chun-I Chen,et al.  Application of game theory on parameter optimization of the novel two-stage Nash nonlinear grey Bernoulli model , 2015, Commun. Nonlinear Sci. Numer. Simul..

[17]  Li Yun Wu,et al.  Some New Research on the Strengthening Buffer Operators , 2013 .

[18]  Zheng-Xin Wang,et al.  An optimized Nash nonlinear grey Bernoulli model for forecasting the main economic indices of high technology enterprises in China , 2013, Comput. Ind. Eng..

[19]  Bo Zeng,et al.  A new-structure grey Verhulst model: Development and performance comparison , 2020 .

[20]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[21]  Zheng-Xin Wang,et al.  Modelling the nonlinear relationship between CO2 emissions and economic growth using a PSO algorithm-based grey Verhulst model , 2019, Journal of Cleaner Production.

[22]  Yuhong Li,et al.  Parameter optimization of nonlinear grey Bernoulli model using particle swarm optimization , 2009, Appl. Math. Comput..

[23]  Sifeng Liu,et al.  Multi-variable weakening buffer operator and its application , 2016, Inf. Sci..

[24]  Timothy D. Sauer,et al.  Time-Scale Separation from Diffusion-Mapped Delay Coordinates , 2013, SIAM J. Appl. Dyn. Syst..

[25]  Sifeng Liu,et al.  Grey system model with the fractional order accumulation , 2013, Commun. Nonlinear Sci. Numer. Simul..

[26]  Tang Xue-wen,et al.  Study on the Buffer Weakening Operator , 2004 .

[27]  Meng Li,et al.  Performance Analysis and Parameter Selection of PSO Algorithms , 2016 .

[28]  Ioan Cristian Trelea,et al.  The particle swarm optimization algorithm: convergence analysis and parameter selection , 2003, Inf. Process. Lett..

[29]  Dang Yao-guo A kind of new weakening buffer operators and their applications , 2008 .

[30]  Xin Ma,et al.  A novel kernel regularized nonhomogeneous grey model and its applications , 2017, Commun. Nonlinear Sci. Numer. Simul..

[31]  Francisco Herrera,et al.  A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization , 2009, J. Heuristics.

[32]  Sifeng Liu,et al.  A new method to mitigate data fluctuations for time series prediction , 2019 .

[33]  Yong Wang,et al.  Application of a novel nonlinear multivariate grey Bernoulli model to predict the tourist income of China , 2019, J. Comput. Appl. Math..

[34]  Liu Si-feng,et al.  The GM models that x(n) be taken as initial value , 2004 .

[35]  Shuo-Pei Chen,et al.  Forecasting of foreign exchange rates of Taiwan’s major trading partners by novel nonlinear Grey Bernoulli model NGBM(1, 1) , 2008 .

[36]  Gao Yan,et al.  Establishment and applications of the new strengthening buffer operators with exponential type , 2009, 2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009).

[37]  Keith W. Hipel,et al.  Forecasting China's electricity consumption using a new grey prediction model , 2018 .

[38]  Lu Yang,et al.  Understanding cumulative sum operator in grey prediction model with integral matching , 2020, Commun. Nonlinear Sci. Numer. Simul..

[39]  Seyed Mohammad Mirjalili,et al.  The Ant Lion Optimizer , 2015, Adv. Eng. Softw..

[40]  Song Ding,et al.  Estimating Chinese energy-related CO2 emissions by employing a novel discrete grey prediction model , 2020 .