A Methodology to Improve Electricity Sub-metering Data Quality

摘要

Due to the increased use of power metering devices in commercial buildings in China for energy monitoring purposes,significant amount of electricity consumption data is now available for analysis.However,because of environmental electromagnetic disturbance and various faults that could occur with electricity meters,quality of the collected data is a question.In this paper,a methodology based on correlation coefficient and data smoothness is proposed to detect and recover the proportional deviation faults and environmental disturbance faults,respectively.Testing this methodology with data collected from a real building in Shanghai,it is found that a high accuracy can be achieved given a small number of faulty sub-meters.Considering the low possibility of simultaneous multiple faults,this method is practical in real situations.