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Research on Verification Error of Smart Electricity Meter based on Regression Analysis
Author(s) -
Yanjie Dai,
Dianguo Xu,
Qing Wang,
Jianhong Zhu,
Tingting Wang,
Yanxi Liu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1486/6/062009
Subject(s) - electricity , electricity meter , metre , smart meter , regression analysis , linear regression , computer science , humidity , stepwise regression , error analysis , regression , simulation , automotive engineering , statistics , engineering , electrical engineering , mathematics , meteorology , machine learning , power (physics) , physics , quantum mechanics , astronomy
In this paper, the errors of smart electricity meterare verified by using walk-in temperature and humidity box.First of all, this paper investigates the regression analysis method and analyzes the influence of temperature and humidity on the error of the smart electricity meter.The stepwise regression method is selected to model the verification error and the verification conditions of the smart electricity meter and the verification device.Finally, the accuracy of modeling is evaluated.

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