Verification Method for Abnormal Data Collection Based on the New Generation of Power Consumption Information Collection System

The new-generation electricity information collection system serves as the core system supporting the reform of electricity marketization. The quality of data collected by the system directly impacts electricity transaction settlement, line loss management, and power grid operation quality monitoring. This paper addresses issues such as lag and dispersed rules in the data verification process of the collection system. It proposes a data verification method of “immediate collection and verification + pre-interception”. By optimizing the verification process of core data such as daily frozen values and electric energy indication curves, a system of data verification rules for the collection system is established. Its effectiveness is validated in the context of market-oriented transactions. The research results indicate that this method can significantly enhance the accuracy and business efficiency of collected data, providing reliable support for the indepth application of massive collected data.

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Publication Details

Published
2025-08-15
DOI
https://doi.org/10.1109/iccepe66357.2025.11193312
Primary Topic
Medical Research and Treatments
Type
article
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Verification Method for Abnormal Data Collection Based on the New Generation of Power Consumption Information Collection System

Xiran Li, Ying Shang, Chen Liu, Xinran Liu et al.
Medical Research and Treatments
article

Verification Method for Abnormal Data Collection Based on the New Generation of Power Consumption Information Collection System

Xiran Li, Ying Shang, Chen Liu, Xinran Liu, He Cui
article en

Abstract

The new-generation electricity information collection system serves as the core system supporting the reform of electricity marketization. The quality of data collected by the system directly impacts electricity transaction settlement, line loss management, and power grid operation quality monitoring. This paper addresses issues such as lag and dispersed rules in the data verification process of the collection system. It proposes a data verification method of “immediate collection and verification + pre-interception”. By optimizing the verification process of core data such as daily frozen values and electric energy indication curves, a system of data verification rules for the collection system is established. Its effectiveness is validated in the context of market-oriented transactions. The research results indicate that this method can significantly enhance the accuracy and business efficiency of collected data, providing reliable support for the indepth application of massive collected data.

Shanghai Electric (China) (CN)
Openalex Percentile: Top 55%
Medical Research and Treatments
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