This study uses big data analysis methods to predict the production capacity of electrolytic aluminum,firstly,collects and organizes relevant data,and then constructs a prediction model through methods such as machine learning and time series analysis.The verification results show that the constructed model has high accuracy and reliability.Analysis shows that factors such as raw material prices,policy changes,and market demand have a significant impact on the production capacity of electrolytic aluminum.This study can provide useful production decision-making references for the electrolytic aluminum industry,laying the foundation for future research directions and practical applications.
关键词
电解铝/生产能力/大数据分析/预测模型/关键因素/行业决策
Key words
electrolytic aluminum/production capacity/big data analysis/prediction model/key factor/industry decision-making
维普
万方数据