现代信息科技2024，Vol.8Issue(12)：116-120,5.DOI:10.19850/j.cnki.2096-4706.2024.12.025
基于DE-SARIMA方法的机组产出量预测
Unit Output Prediction Based on DE-SARIMA Method
摘要
Abstract
Obtaining high-precision unit output prediction is a prerequisite for steel enterprises to maintain reasonable and stable inventory levels.Due to the complex and ever-changing production environment and the uncertainty of market demand,the unit output shows certain fluctuations.To this end,a unit output prediction method based on differential evolution and seasonal autoregressive integrated moving average(DE-SARIMA)is proposed.To improve prediction accuracy,a DE algorithm integrating the segmented iterative adaptive mutation strategy and DBSCAN selection strategy is designed to optimize the parameters of the SARIMA model.Testing is carried out using actual production data,and the effectiveness of the proposed method is verified.关键词
SARIMA/DBSCAN/DE/产出量/预测Key words
SARIMA/DBSCAN/DE/output/prediction分类
信息技术与安全科学引用本文复制引用
黄俊婷,王忠鑫,滕用秋,宋波,曾祥玉,白仁喜..基于DE-SARIMA方法的机组产出量预测[J].现代信息科技,2024,8(12):116-120,5.基金项目
沈阳市科技人才专项项目(RC230427) （RC230427）
沈阳市中青年科技创新人才支持计划项目(RC220436) （RC220436）
