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International Conference of Pioneering Computer Scientists, Engineers and Educators

ICPCSEE 2018: Data Science pp 389–400Cite as

Optimization Method of Suspected Electricity Theft Topic Model Based on Chi-square Test and Logistic Regression

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 902))

Abstract

In recent years, the electricity theft has presented characteristics of high-tech and covert. Therefore, the factors that reflect the existence of stealing electricity become varied and complex. It brings the problems such as low efficiency and poor accuracy for power grid enterprises to identify the customers who had been stealing electricity. In this paper, Chi-square test and logistic regression are used to optimize the suspected electricity theft topic model. Chi-square test is used to determine the factors interrelated with the electricity theft firstly, and then the logistic regression algorithm is used to optimize the weights of the interrelated factors, and finally constructed a prediction function that can predict the customers who had been stealing electricity. Experiments show that the method proposed in this paper can help the power grid enterprises to identify the customers who had been stealing electricity, on account of having high accuracy rate, precision rate and recall rate.

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Author information

Authors and Affiliations

  1. China Electric Power Research Institute, Beijing, China

    Jian Dou & Ye Aliaosha

Authors
  1. Jian Dou
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  2. Ye Aliaosha
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Corresponding author

Correspondence to Jian Dou .

Editor information

Editors and Affiliations

  1. Zhengzhou University, Zhengzhou, Henan, China

    Qinglei Zhou

  2. Xidian University, Xi’an, Shaanxi, China

    Qiguang Miao

  3. Harbin Institute of Technology, Harbin, China

    Hongzhi Wang

  4. Harbin University of Science and Technology, Harbin, China

    Wei Xie

  5. Zhengzhou Institute of Technology, Zhengzhou, China

    Yan Wang

  6. National Academy of Guo Ding Institute of Data Science, Beijing, China

    Zeguang Lu

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Cite this paper

Dou, J., Aliaosha, Y. (2018). Optimization Method of Suspected Electricity Theft Topic Model Based on Chi-square Test and Logistic Regression. In: Zhou, Q., Miao, Q., Wang, H., Xie, W., Wang, Y., Lu, Z. (eds) Data Science. ICPCSEE 2018. Communications in Computer and Information Science, vol 902. Springer, Singapore. https://doi.org/10.1007/978-981-13-2206-8_32

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  • DOI: https://doi.org/10.1007/978-981-13-2206-8_32

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2205-1

  • Online ISBN: 978-981-13-2206-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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