Forecasting and Research on Future Steel Industry Development based on Multi-Algorithm Coupled Models

Abstract

In response to the current situation where data utilization in China's steel industry is insufficient and there is an urgent need to achieve a low-carbon and smart transformation, this article initially gathers data on the development of the steel industry through literature reviews, yearbooks, websites, and other sources. It then uses a multi-algorithm coupling model to predict the industry's development scenario for the next two decades. Based on the predictive data, a high-quality development evaluation system for the steel industry is established, which will be used as a foundation to promote the early realization of industrial transformation in the steel industry.