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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Veröffentlicht in:	PeerJ. Computer science Jg. 9; S. e1581
Hauptverfasser:	Li, Chong, Wang, Hao, Shen, Hongtao, Yang, Peng, Wang, Yi, Li, Qian, Li, Chuan, Li, Bing, Guo, Rongkun, Wang, Ruiming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States PeerJ. Ltd 23.10.2023 PeerJ Inc
Schlagworte:	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
Online-Zugang:	Volltext
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