面向互联互通的电力营商数据增量式更新与共享算法

Incremental Updating and Sharing Algorithm of Power Business Data for Interconnection Oriented Power Business Data

在电力营商数据增量式更新过程中,由于数据之间存在强相关性,导致更新算法需要消耗的时间成本较高,在具体操作上实用性需要进一步提高。为了解决这一问题,提出面向互联互通的电力营商数据增量式更新与共享算法。利用数据之间的强关联性,挖掘其中的正相关性和负相关性,确定关联规则。在此基础上,计算数据间的支持度和置信度,筛选出符合要求的数据并扫描数据库完成数据增量式更新。针对不同类型的数据,设计共享数据库,并建立时态模型,实现数据的实时共享。实验结果表明,本研究提出的电力营商数据增量式更新与共享算法运行时间快,内存节省比例高,整体实用性得到了提高。

In the process of incremental updating of electric power business data,updating algorithm requires high time cost due to the strong correlation between the data,and the practicality of the specific operation needs to be further improved.In order to solve this problem,an incremental updating and sharing algorithm for interconnection oriented power business data is proposed.Using the strong correlation between data,the positive and negative correlation is mined,and the correlation rules are determined.On this basis,support and trust between data are calculated,screening the data that meets the requirements and scanning the database to complete the incremental updating of data.For different types of data,the shared database is designed and the temporal model is established to achieve real-time sharing of data.The experimental results show that the proposed algorithm for incremental updating and sharing of electric power business data is capable of running fast,saving more memory,and the overall practicality is improved.