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

DOI10.1016/j.cnsns.2021.105847zbMath1466.62431OpenAlexW3150925156MaRDI QIDQ2025590

Ruojin Li, Song Ding, Shu Wu

Publication date: 14 May 2021

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cnsns.2021.105847

zbMATH Keywords

nonlinear grey Bernoulli modelbuffer operatorgrey prediction modelnew energy vehiclesoptimized initial condition

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)

Related Items (4)

Forecasting algae and shellfish carbon sink capability on fractional order accumulation grey model ⋮ A novel discrete multivariable grey model with spatial proximity effects for economic output forecast ⋮ On unified framework for continuous-time grey models: an integral matching perspective ⋮ On unified framework for nonlinear grey system models: an integro-differential equation perspective

Uses Software

• GWO
• ALO

Cites Work

• Grey system model with the fractional order accumulation
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• GWO
• Application of a novel nonlinear multivariate grey Bernoulli model to predict the tourist income of China
• A novel kernel regularized nonhomogeneous grey model and its applications
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• Comparative analysis of properties of weakening buffer operators in time series prediction models
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• A new method to mitigate data fluctuations for time series prediction
• Grey Data Analysis
• The GM models that x(n) be taken as initial value
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