Analyzing adjustment and verification errors in electric metering devices for smart power systems considering multiple environmental factors
Source abstract
Abstract
Environmental conditions can greatly influence the precision of electric metering devices, resulting in heightened measurement errors. This paper presents a correction model for electric metering equipment, considering a range of environmental influences. Initially, the potential impacts of various environmental elements on electric metering devices are analyzed. Subsequently, mutual information methods are employed to screen out the environmental factors with significant influence on the electric metering devices. Then, an error adjustment model based on gated recurrent unit-attention is constructed, and the particle swarm optimization algorithm is adopted for the purpose of optimizing hyperparameters. Ultimately, various evaluation metrics are selected, followed by experimental validation to confirm the suggested method’s efficacy. Case studies demonstrate the proposed method performs well across different seasons, with the lowest RMSE reaching 1.24.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Electricity Theft Detection Techniques · Smart Grid Energy Management · Energy Load and Power Forecasting
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Beijing Electric Power Science & Smart Chip Technology Company Limited 1 , Beijing 100192,
Beijing Smart-Chip Microelectronics Techno1ogy Co., Ltd 2 , Beijing 102200,
Department of Electrical Engineering, Northeast Electric Power University, Jilin 3 , Jilin 132012,
Funding
the Laboratory Open Fund of Beijing Smart-chip Microelectronics Technology Co., Ltd
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