Work

Potential Demand Forecasting for Steel Products in Spot Markets Using a Hybrid SARIMA‐LSSVM Approach

Year: 2025

Type: article

Source: Journal of Forecasting

DOI: 10.1002/for.3259

Authors: Junting Huang, Ying Meng, Min Xiao, Chang Liu, Yun Dong

Institution: Northeastern University

Language: English

Topic: Forecasting Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Higher Education Discipline Innovation Project

Awards: G2311391187, G5496742749

OpenAlex ID: W4407858975

FWCI: 1.605

Cites: 47

Cited by: 2

Related to: 10