兵工自动化2026，Vol.45Issue(1)：59-63,5.DOI:10.7690/bgzdh.2026.01.012
基于重构优化的电力调度数据自动化挖掘
Automatic Mining for Power Dispatching Data Based on Reconfiguration Optimization
摘要
Abstract
In order to provide power dispatching data to users more accurately,an automatic mining method of power dispatching data based on association rules and reconstruction is designed.A data reconstruction algorithm based on a generated antagonistic network and a crisscross particle swarm is adopted to reconstruct the power dispatching data and supplement associated missing values in the power dispatching data;Through the data association rule mining algorithm based on distributed privacy protection,the association rules of reconstructed power dispatching data are mined,and combined with multi-dimensional encryption algorithm,the data automatic mining architecture is constructed to realize the security mining of power dispatching data.The experimental results show that this method has a good automatic mining effect without data loss in the process of mining power dispatching data for users.关键词
关联规则/电力调度数据/自动化挖掘/数据重构/生成对抗网络/粒子群Key words
association rules/power dispatching data/automatic mining/data reconstruction/generative adversarial network/particle swarm分类
信息技术与安全科学引用本文复制引用
卢鑫,康超强,杜洋,曹泽江..基于重构优化的电力调度数据自动化挖掘[J].兵工自动化,2026,45(1):59-63,5.基金项目
2022年南网数研院数字电网分公司项目(210000HK42220004) （210000HK42220004）
