Operating Performance Assessment of Smart Meters Based on Bayesian Networks and Convex Evidence Theory

  • Haibo Yu
  • Helong Li
  • Zehao Zheng
  • Yungang ZhuEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1084)


Smart electricity meters have been widely installed in recent years. In order to automatically assess the operating performance of smart meters, in this paper we propose a method based on Bayesian network. Bayesian network is adopted to represent the casual relationship among attributes and operating performance of smart meter. Multiple Bayesian networks are trained from data with genetic algorithm and bagging sampling, then a subset of Bayesian networks are selected for assessment. The evidence theory is used to fuse the multiple results from Bayesian networks and generate final assessment results for smart meters. The experimental results show the effectiveness and efficiency of the proposed method.


Smart electricity meters Bayesian network Convex evidence theory 



This paper is supported by the State Grid Corporation of Science and Technology Project “The Research and Application of Smart Meter Operation Status Evaluation Technology Based on Multi-source Data Fusion (Project No. JL71-16-006)”.


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.China Electric Power Research InstituteBeijingChina
  2. 2.College of Computer Science and TechnologyJilin UniversityChangchunChina

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