Research on Predicting the Production Capacity of Electrolytic Aluminum Based on Big Data Analysis
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.
electrolytic aluminumproduction capacitybig data analysisprediction modelkey factorindustry decision-making