Research on On-line Monitoring Technology of Electric Energy Meter Error Based on High-Frequency Acquisition and Ridge Regression Least-Square Method-Reference-Cited by-同舟云学术

Research on On-line Monitoring Technology of Electric Energy Meter Error Based on High-Frequency Acquisition and Ridge Regression Least-Square Method

Published:2021-12-10 Issue: Volume: Page:
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Container-title:2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST)
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Author:

Li XiaoJun¹,Liu LiNa¹,Li FangShuo¹,Zhou YiFei¹,Wang Tao¹,Wang ChenCheng¹,Li RuiChao¹

Affiliation:

1. Sichuan Electric Power Corporation Metering Center,Chengdu,China

Funder

Science and Technology Project of State Grid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9695521/9695500/09695768.pdf?arnumber=9695768

Reference4 articles.

1. A smart meter operation error analysis method considering the morbidity of the model[J];hao;Electric Power Construction,2020

2. Remote Estimation of Operating Error of Smart Meter Based on Limited Memory Recursive Least Squares Algorithm[J];xiangyu;Proceedings of the Chinese Society of Electrical Engineering,2020

3. Operating error data correction and data mining analysis of electric energy meters in low-voltage stations[J];bo;Automation and Instrumentation,2020

4. Research on the operation error and state evaluation model of electric energy meter [J];chencheng;Electric Power Big Data,2020

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