A recursive polynomial grey prediction model with adaptive structure and its application

Author:

Liu LianyiORCID,Liu SifengORCID,Yang Yingjie,Fang Zhigeng,Xu ShuqiORCID

Funder

National Natural Science Foundation of China

Ministry of Science and Technology

Publisher

Elsevier BV

Reference44 articles.

1. Autoregressive integrated moving average (ARIMA) model for forecasting cryptocurrency exchange rate in high volatility environment: A new insight of bitcoin transaction;Abu Bakar;International Journal of Advanced Engineering Research and Scinece,2017

2. Data to intelligence: The role of data-driven models in wastewater treatment;Bahramian;Expert Systems with Applications,2023

3. Forecasting of foreign exchange rates of Taiwan’s major trading partners by novel nonlinear Grey bernoulli model NGBM (1, 1);Chen;Communications in Nonlinear Science and Numerical Simulation,2008

4. Fractional Hausdorff grey model and its properties;Chen;Chaos, Solitons & Fractals,2020

5. Application of a novel structure-adaptative grey model with adjustable time power item for nuclear energy consumption forecasting;Ding;Applied Energy,2021

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