A privacy calculation method for smart grid power data based on NB IoT

Yi Wu; Naiwang Guo; Tangyu Xu; Qian Li

doi:10.1117/12.3031418

19 July 2024 A privacy calculation method for smart grid power data based on NB IoT

Yi Wu, Naiwang Guo, Tangyu Xu, Qian Li

Proceedings Volume 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024); 131815V (2024) https://doi.org/10.1117/12.3031418
Event: Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 2024, Beijing, China

Abstract

The amount of power data generated by smart grid is huge and growing, which leads to the problem of data loss in the process of privacy calculation. Therefore, this paper proposes a power data privacy calculation method for smart grid based on narrow band Internet of Things (NB-IOT). Establish NB-IOT network architecture, and use NB-IOT to complete the collection of power privacy data. According to the data transmission error of privacy layer, the privacy value of smart grid is corrected, and the convergence of smart grid is improved by momentum factor and adaptive learning rate. Aiming at the results of specific demand calculation without universality, an advanced and universal power data privacy calculation method of IE-BPDN (information entropy-BP neural network) is proposed. Experiments show that the research method has faster convergence speed and the deviation rate of privacy calculation can be controlled below 4%.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yi Wu, Naiwang Guo, Tangyu Xu, and Qian Li "A privacy calculation method for smart grid power data based on NB IoT", Proc. SPIE 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 131815V (19 July 2024); https://doi.org/10.1117/12.3031418

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