Online verification and management scheme of gateway meter flow in the power system by machine learning

Currently, the calibration of electric energy meters often involves manual meter reading, dismantling inspection, or regular sampling inspection conducted by professionals. To improve work efficiency and verification accuracy, this research integrates machine learning into the scheme of online verif...

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Vydané v:	PeerJ. Computer science Ročník 9; s. e1581
Hlavní autori:	Li, Chong, Wang, Hao, Shen, Hongtao, Yang, Peng, Wang, Yi, Li, Qian, Li, Chuan, Li, Bing, Guo, Rongkun, Wang, Ruiming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States PeerJ. Ltd 23.10.2023 PeerJ Inc
Predmet:	Detectors Dial reading identification Electric power systems Faster-RCNN model Inspection Investment analysis Limited memory recursive least squares algorithm Machine learning Neural networks Online verification SSD model Limited memory recursive least squares algorithm SSD model Faster-RCNN model Line loss Machine learning Online verification Dial reading identification Light load condition
ISSN:	2376-5992, 2376-5992
On-line prístup:	Získať plný text
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