Study on the Influencing Factors of the Competitive Network Pattern of Cobalt Industry Chain Trade in the Context of Big Data Analysis DOI Creative Commons

Yunxia Yang,

Ruibing Wang

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract The article proposes a time series model to explore the influencing factors of cobalt industry chain trade competition network pattern. By analyzing current situation evolution network, relevant variables are selected. data described based on overview algorithmic research model. Finally, is empirically tested. unit root verified be in an unsteady state by first-order differencing, and p-values all have probability accepting original hypothesis greater than 0. After second-order differencing ADF test, smooth them monotonic. cointegration it was found that residual at 5% critical level, there relationship.

Language: Английский

Apple varieties and growth prediction with time series classification based on deep learning to impact the harvesting decisions DOI
Mustafa Mhamed, Zhao Zhang, Wanjia Hua

et al.

Computers in Industry, Journal Year: 2024, Volume and Issue: 164, P. 104191 - 104191

Published: Sept. 29, 2024

Language: Английский

Citations

4
Dynamic Hydrogen Demand Forecasting Using Hybrid Time Series Models: Insights for Renewable Energy Systems DOI Creative Commons
Ali Nikseresht

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122737 - 122737

Published: Feb. 1, 2025

Language: Английский

Citations

0
A methodology for optimal energy management for efficient and profitable hydrogen production and storage DOI Creative Commons

Gioacchino Musicò,

Salvatore Gianluca Leonardi,

Giovanni Lucà Trombetta

et al.

Rendiconti lincei. Scienze fisiche e naturali, Journal Year: 2025, Volume and Issue: unknown

Published: April 23, 2025

Language: Английский

Citations

0
Study on the Influencing Factors of the Competitive Network Pattern of Cobalt Industry Chain Trade in the Context of Big Data Analysis DOI Creative Commons

Yunxia Yang,

Ruibing Wang

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract The article proposes a time series model to explore the influencing factors of cobalt industry chain trade competition network pattern. By analyzing current situation evolution network, relevant variables are selected. data described based on overview algorithmic research model. Finally, is empirically tested. unit root verified be in an unsteady state by first-order differencing, and p-values all have probability accepting original hypothesis greater than 0. After second-order differencing ADF test, smooth them monotonic. cointegration it was found that residual at 5% critical level, there relationship.

Language: Английский

Citations

0