Comparison analysis of electricity theft detection methods for advanced metering infrastructure in smart grid
作者: Hamed Barzamini Mona Ghassemian
刊名: Int. J. of Electronic Security and Digital Forensics, 2019, Vol.11 (3), pp.265-280
来源数据库: Inderscience Enterprises Limited
DOI: 10.1504/IJESDF.2019.100475
关键词: Smart gridElectricity theftClassification methodPrincipal component analysisPCAAdvanced metering infrastructure.
原始语种摘要: While smart grid technologies are deployed to help achieve improved grid reliability and efficiency, energy companies are vulnerable to cyber-attacks leading to billions of dollars loss. The selection of an appropriate classification method for the electricity theft detection relies on operational requirements and resource constraints in real scenarios. Since unsupervised methods have high error rates, we employ a semi-supervised anomaly detection method [the principal component analysis (PCA)] technique for the electricity theft detection. PCA is compared with the peer-to-peer (P2P) method based on linear equations. The P2P method assumes known particular electricity theft patterns and in the absence of which, the P2P method detection system results in 100% false alarm. While PCA does...
全文获取路径: Inderscience 出版公司 

  • electricity 电气
  • theft 盗窃及不能交货险
  • detection 探测
  • infrastructure 下层构造
  • analysis 分析
  • smart 修]灵巧[便,敏
  • advanced 先进的
  • component 成分
  • alarm 警报
  • operational 运算的