Abstract
In light of the lack of online detection techniques in digital energy metering systems and the ambiguity surrounding factors that contribute to metering errors, this study introduces a multifactor-based approach to comprehensively analyse and detect digital energy metering errors. Through a systematic exploration, the research not only identifies the factors that significantly influence metering errors within digital energy metering systems but also quantifies their individual impacts. A dedicated testing apparatus for digital energy metering systems is devised and the impact of error-inducing factors in the on-site testing is validated. The outcomes serve to validate the precision of theoretical analyses.
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