摘要
主要针对计量自动化系统电量采集数据的准确性进行研究,提出基于拉依达准则和置信度统计方法,实现快速、正确的对采集电能量数据中的异常值进行判定和剔除,从而保证了计量自动化系统采集电能量数据的准确性,以便系统对数据进行分析、整理。本方法结合日电量数据、月电量数据和年电量数据之间的统计关系,利用拉依达准则给出了日电量数据准确性判断的具体流程,同时还对该方法的具体实现程序进行了优化设计。
＂File paper mainly studies the accuracy of the data collected from the metrological automation system, and put forward Ihe method of judging anti eliminating the outlie~ in the collected energy data based on the Ladida criterion and the confidence statistics so as to ensure the measurement the automation system collects the accuracy of the energy data st） that the system can analyze anti sort the data. Based on the statistical relationship between the daily electricity data, the monthly electricity data and the annual electricity data, this method uses the La Yida criterion to give the specific process of determining the aceuraey of the daily electricity data. At the same time, the specific realization procedure of the method is optimized design.
出处
《电力大数据》
2017年第11期74-78,共5页
Power Systems and Big Data
关键词
拉依达准则
异常值
计量自动化系统
日电量数据
Riyadh criteria
outliers
metrological automation systems
daily electricity data
