Application Research of Digital Intelligence Technology in Mining Electric Power Equipment Fault Cases: Taking Text Mining Technology as an Example

Author:

Xu Hao,Ge Linlin,Zhang Yan,Fang Jiuzhou,Liu Pengchen,Kang Zhengyuan

Publisher

Springer Nature Singapore

Reference51 articles.

1. Xue, Y., Lai, Y.: Convergence of big energy thinking and big data thinking (I) big data and power big data. Power Syst. Autom. 40(01), 1–8 (2016)

2. Peng, X., et al.: Key technologies of electric power big data for smart grid applications. Chin. J. Electr. Eng. 35(03), 503–511 (2015)

3. Yu, X., Xue, Y.: Smart grids: a cyber–physical systems perspective. Proc. IEEE 104(5), 1058–1070 (2016)

4. Wang, H., Cao, J., Luo, L.: Status quo and challenges of electric power text mining. Zhejiang Electr. Power 38(03), 1–7 (2019)

5. Ma, W., Chen, G., Li, X., et al.: Classification of Chinese comments based on plain Bayesian algorithm. Comput. Appl. 41(S2), 31–35 (2021)

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