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The International Conference on Cyber Security Intelligence and Analytics

CSIA 2021: Cyber Security Intelligence and Analytics pp 655–659Cite as

Development and Application of Artificial Intelligence Technology Based on Machine Learning Algorithm

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1342))

Abstract

Disastrous weather is the most important factor causing power grid defects and then power equipment failure. This paper attempts to find out the relationship between disastrous meteorological factors and power grid defects. By improving the existing APRO π I algorithm, an association model suitable for the southern coastal power grid is obtained. The paper also discusses the problem of low support caused by the number of samples. At the end of the paper, the application of the model is explained by an example of a southern power grid.

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References

  1. Xiaofu, X., Weijun, W., Yang, Y., et al.: Transmission line risk analysis based on multi meteorological factors. J. Power Syst. Autom. 23(6), 11–15, 28 (2011)

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  2. Miao, J., Yadong, L., Gehao, S., et al.: Load capacity prediction system of transmission line based on climate model. Electr. Technol. 17(7), 1–6 (2016)

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  3. Ying, Z., Jinwu, Z., Yueqing, B.: Big data mining: system method and case analysis. Beijing: China Machine Press (2016)

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  4. Yi, Z.: Improved Apriori algorithm based on array. Harbin: Harbin Normal University (2014)

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Author information

Authors and Affiliations

  1. National Network Ningxia Electric Power Co., Ltd., Electric Power Research Institute, Yinchuan, 750002, China

    Dongge Zhu, Jia Liu, Xuwei Xia & Zhenhua Yan

Authors
  1. Dongge Zhu
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  2. Jia Liu
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  3. Xuwei Xia
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  4. Zhenhua Yan
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Corresponding author

Correspondence to Dongge Zhu .

Editor information

Editors and Affiliations

  1. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

  2. Department Software Engineering and Game Development, Kennesaw State University, Marietta, GA, USA

    Reza M. Parizi

  3. School of Engineering and Sciences, Tecnologico de Monterrey, Puebla, Mexico

    Octavio Loyola-González

  4. Assistant Professor in Practice, University of Texas at San Antonio, Boerne, TX, USA

    Xiaolu Zhang

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Cite this paper

Zhu, D., Liu, J., Xia, X., Yan, Z. (2021). Development and Application of Artificial Intelligence Technology Based on Machine Learning Algorithm. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1342. Springer, Cham. https://doi.org/10.1007/978-3-030-70042-3_94

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