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A Big Data Driven Model for Screening Electricity Customers

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Intelligent Computing Theories and Application (ICIC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12463))

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Abstract

Based on the current corresponding indicators for determining overcapacity electricity consumption, the screening rules for suspected overcapacity electricity customers are scientifically formulated with data analysis methods in this paper. Overcapacity Electricity Consumption refers to the electricity customer’s violation of the power supply contract, which exceeds the capacity requested. This is a typical behavior of defaulting electricity and disrupting the normal order of electricity supply and consumption. At present, the inspection system lacks an intuitive visual interface for displaying results analysis and the support from a more scientific and flexible algorithm system. Through the expert’s empirical analysis, we have summarized the characteristic indicators of overcapacity customers and formulated the rules for identifying suspected overcapacity electricity customers.

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References

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Author information

Authors and Affiliations

  1. State Grid ZheJiang Marketing Service Center (Metrology Center), Hangzhou, China

    Liu Xingping, Zhang Chenmin, Zhou Chenhui & Zhuang Chen

  2. Center of Mass Entrepreneurship and Innovation, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou, China

    Xie Zhihan

Authors
  1. Liu Xingping
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  2. Xie Zhihan
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  3. Zhang Chenmin
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  4. Zhou Chenhui
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  5. Zhuang Chen
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Corresponding author

Correspondence to Liu Xingping .

Editor information

Editors and Affiliations

  1. Institute of Machine Learning and Systems Biology, Tongji University, Shanghai, China

    De-Shuang Huang

  2. Electrical and Electronics Department, Polytechnic University of Bari, Bari, Italy

    Vitoantonio Bevilacqua

  3. School of Computer Science and Mathematics, Liverpool John Moores University, Liverpool, UK

    Abir Hussain

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Xingping, L., Zhihan, X., Chenmin, Z., Chenhui, Z., Chen, Z. (2020). A Big Data Driven Model for Screening Electricity Customers. In: Huang, DS., Bevilacqua, V., Hussain, A. (eds) Intelligent Computing Theories and Application. ICIC 2020. Lecture Notes in Computer Science(), vol 12463. Springer, Cham. https://doi.org/10.1007/978-3-030-60799-9_44

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  • DOI: https://doi.org/10.1007/978-3-030-60799-9_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60798-2

  • Online ISBN: 978-3-030-60799-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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