| Title |
Estimation of energy meter accuracy using remote non-invasive observation / |
| Authors |
Saunoris, Marius ; Nakutis, Žilvinas ; Knyva, Mindaugas |
| DOI |
10.2478/msr-2022-0021 |
| Full Text |
|
| Is Part of |
Measurement science review.. Warsaw : Sciendo. 2022, vol. 22, no. 4, p. 170-176.. ISSN 1335-8871 |
| Keywords [eng] |
energy meter ; accuracy ; remote and non-invasive observation |
| Abstract [eng] |
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. |
| Published |
Warsaw : Sciendo |
| Type |
Journal article |
| Language |
English |
| Publication date |
2022 |
| CC license |
|
