Error Modeling and Anomaly Detection of Smart Electricity Meter Using TSVD+L Method-Reference-Cited by-同舟云学术

Error Modeling and Anomaly Detection of Smart Electricity Meter Using TSVD+L Method

Author:

Chen Lidan¹^ORCID,Lao Keng-Weng²^ORCID,Ma Yongliang¹^ORCID,Zhang Zhe³^ORCID

Affiliation:

1. Department of Electrical Engineering, Guangzhou City University of Technology, Guangzhou, China

2. Department of Electrical and Computer Engineering, State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, China

3. Pazhou Laboratory, Guangzhou, China

Funder

Open Fund Project of Intelligent Electric Power Grid Key Laboratory of Sichuan Province

Science and Technology Development Fund (FDCT), Macau SAR

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference40 articles.

4. A method for remote calibration and large-scale verification of electric energy meter;yang;Electr Meas Instrum,2021

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4. Basic Error Prediction for Smart Meters Based on ISSA-LSSVM With Combination Weighting;2023 2nd International Conference on Sensing, Measurement, Communication and Internet of Things Technologies (SMC-IoT);2023-12-29