A framework for remote in-service metrological surveillance of energy meters

Nakutis, Žilvinas; Kaškonas, Paulius; Saunoris, Marius; Daunoras, Vytautas; Jurčević, Marko

doi:10.1016/j.measurement.2020.108438

Cited by 4 publications

(2 citation statements)

References 23 publications

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“…Moreover, the uncertainty of remote monitoring is way larger than achievable in certified laboratories. For example, in the use case presented in [8] the uncertainty of remotely assessed meter multiplicative correction factor (adjustment gain) was found 9.4% assuming the nominal value of correction factor is equal to 1. A 0.63% power measurement error uncertainty of a Class 1 meter is reported for the noninvasive error monitoring technique described in [5].…”

Section: Introductionmentioning

confidence: 97%

A Contemplation on Electricity Meters In-Service Surveillance Assisted by Remote Error Monitoring

Nakutis

Kaškonas

2020

Energies

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In this paper, remote error monitoring techniques for electricity meters are overviewed suggesting their utilization for in-service surveillance assistance. It is discussed that in-service error observation could provide valuable input, contributing to the timely detection of batches of meters reaching nonconformance status. The payback period analysis of the deployment of a remote error monitoring solution is considered. However, it is pointed out that such an analysis lacks input information describing the relationship between the remote monitoring system’s performance and its ability to detect nonconformance of the batch. It is also noticed that there is no published methodology for grading the status of an entire batch of meters referring to error estimates of a subset of the meters, when the uncertainty of estimation is rather high.

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Section: Introductionmentioning

confidence: 97%

A Contemplation on Electricity Meters In-Service Surveillance Assisted by Remote Error Monitoring

Nakutis

Kaškonas

2020

Energies

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“…In both cases, meters' conformance is not monitored until the expiration of the verification period. Therefore, techniques enabling to monitor the energy meter's accuracy between verifications are in demand [3], [4]. Equipment for in-field verification of energy meters like portable meter testers, portable standards, on-site calibrators, energy meter test sets, etc.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Energy Meter Accuracy using Remote Non-invasive Observation

Saunoris

Nakutis

Knyva

2022

Measurement Science Review

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This paper presents an error analysis of the estimation of energy meter correction factor (CF) using a remote non-invasive technique. A method of the CF estimation based on the comparison of synchronously detected power steps in power consumption profiles of meter under test and reference meter is elaborated. The dependence of meter CF estimation uncertainty upon the magnitude of power steps, the number of power steps per observation interval, and the number of meters under test monitored by one reference meter is approximated. The synthesized consumer active power profiles are used to obtain training data points that are fit by these approximating equations.

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RETRACTED ARTICLE: Design of error check model for electric energy metering device based on random forest

Shen

Zhen

et al. 2022

Energy Syst

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A framework for remote in-service metrological surveillance of energy meters

Cited by 4 publications

References 23 publications

A Contemplation on Electricity Meters In-Service Surveillance Assisted by Remote Error Monitoring

A Contemplation on Electricity Meters In-Service Surveillance Assisted by Remote Error Monitoring

Estimation of Energy Meter Accuracy using Remote Non-invasive Observation

RETRACTED ARTICLE: Design of error check model for electric energy metering device based on random forest

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