基于重构优化的电力调度数据自动化挖掘OA
Automatic Mining for Power Dispatching Data Based on Reconfiguration Optimization
为更精准地给用户提供电力调度数据,设计基于关联规则与重构的电力调度数据自动化挖掘方法.采用基于生成对抗网络与纵横交叉粒子群的数据重构算法,重构电力调度数据,补充电力调度数据中的关联缺失值;通过基于分布式隐私保护的数据关联规则挖掘算法,挖掘重构后电力调度数据的关联规则,并结合多维度加密算法构建数据自动化挖掘架构,实现电力调度数据安全挖掘.结果表明:该方法在为用户挖掘电力调度数据过程中,不会出现数据丢失现象,具有良好的自动化挖掘效果.
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.
卢鑫;康超强;杜洋;曹泽江
南方电网数字电网科技(广东)有限公司项目部,广州 510000南方电网数字电网科技(广东)有限公司项目部,广州 510000佰聆数据服务(广州)有限公司项目部,广州 510000南方电网数字电网科技(广东)有限公司项目部,广州 510000
信息技术与安全科学
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
association rulespower dispatching dataautomatic miningdata reconstructiongenerative adversarial networkparticle swarm
《兵工自动化》 2026 (1)
59-63,5
2022年南网数研院数字电网分公司项目(210000HK42220004)
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