基于重构优化的电力调度数据自动化挖掘
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基金项目:2022年南网数研院数字电网分公司项目(210000HK42220004)


Automatic Mining for Power Dispatching Data Based on Reconfiguration Optimization
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    摘要:

    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。

    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.

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卢 鑫.基于重构优化的电力调度数据自动化挖掘[J].,2026,45(01).

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  • 收稿日期:2024-11-09
  • 最后修改日期:2024-12-19
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  • 在线发布日期: 2026-02-11
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