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Clustering Analysis of Power Grid Data Based on Dynamic Hierarchical K-Modes

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Frontier Computing (FC 2021)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 827))

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Abstract

With the development of power industry and the continuous improvement of power metering system, the demand side power consumption characteristics of power grid are diversified. How to tap the characteristics of users’ electricity consumption behavior, so as to promote the marketization of electricity price, has become a concern. Firstly, the K-Modes algorithm in clustering analysis is introduced, and a dynamic hierarchical K-Modes algorithm is proposed to deal with generic data and give a reasonable H value; Secondly, the data processing method of curve data difference and generic transformation is proposed to better reflect the user curve shape; Finally, the dynamic hierarchical K - modes algorithm is used to get good classification results on simulated data.

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References

  1. Sun, J., Liu, J., Zhao, L.: research on clustering algorithm. Acta Sin. 19(1), 48–61 (2008)

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Acknowledgements

Research on Key Issues of Market System and Mechanism of Jilin Power lement Allocation in State Grid Jilin Economic Research Institute in 2020.

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Authors and Affiliations

  1. Power Economic Research Institute of Jilin Electric Power Co., Ltd., Changchun, 130000, Jilin, China

    Yu Shi & Yuanmei Zhang

  2. Changchun University and Technology, Changchun, 130000, Jilin, China

    Yu Shi, Meiqi Li & Yuzhi Zhang

Authors
  1. Yu Shi
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  2. Meiqi Li
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  3. Yuzhi Zhang
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  4. Yuanmei Zhang
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Editors and Affiliations

  1. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung, Taiwan

    Jason C. Hung

  2. School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan

    Neil Y. Yen

  3. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung, Taiwan

    Jia-Wei Chang

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Shi, Y., Li, M., Zhang, Y., Zhang, Y. (2022). Clustering Analysis of Power Grid Data Based on Dynamic Hierarchical K-Modes. In: Hung, J.C., Yen, N.Y., Chang, JW. (eds) Frontier Computing. FC 2021. Lecture Notes in Electrical Engineering, vol 827. Springer, Singapore. https://doi.org/10.1007/978-981-16-8052-6_235

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  • DOI: https://doi.org/10.1007/978-981-16-8052-6_235

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-8051-9

  • Online ISBN: 978-981-16-8052-6

  • eBook Packages: EngineeringEngineering (R0)

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