Low-cost energy meter calibration method for measurement and verification

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• 作者：Herman Carstens^a ; ^{hermancarstens@gmail.com} ; Xiaohua Xia^a ; Sarma Yadavalli^b
• 关键词：Measurement and verification ; Bayesian statistics ; Energy metering ; Measurement uncertainty ; Measurement error models ; Calibration ; Metrology ; Machine learning ; Simulation extrapolation ; Errors-in-variables
• 刊名：Applied Energy
• 出版年：2017
• 出版时间：15 February 2017
• 年：2017
• 卷：188
• 期：Complete
• 页码：563-575
• 全文大小：833 K
• 卷排序：188

文摘

The effects of mismeasurement in energy monitoring are discussed. Simulation Extrapolation and Bayesian machine learning algorithms are applied. Even with low-precision meters as calibrators, acceptable accuracy is achieved.