Data model for smart electricity meter comprehensive verification based on BP neural network

This paper proposes a BP neural network based model for smart electricity meter (SEM)comprehensive verification under variation conditions of temperature and humidity. Two-neuron BP neural network model and one-neuron BP neural network model are established, respectively. Theoretical results show th...

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Bibliographic Details
Published in:Journal of physics. Conference series 2020-04, Vol.1486 (2), p.22028
Main Authors: Wang, Qing, Dai, Yanjie, Wu, You, Liu, Yanxi, Wang, Tingting, Dong, Xianguang
Format: Article
Language:English
Subjects:
Back propagation networks
Electricity meters
Humidity
Mathematical models
Neural networks
Physics
Smart grid
Verification
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Summary:This paper proposes a BP neural network based model for smart electricity meter (SEM)comprehensive verification under variation conditions of temperature and humidity. Two-neuron BP neural network model and one-neuron BP neural network model are established, respectively. Theoretical results show that when temperature is fixed, the comprehensive verification error is rarely affected by humidity, whereas when humidity is fixed, the SEM comprehensive verification error has obvious variation with temperature which tends to linear correlation.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1486/2/022028