Understanding Electricity-Theft Behavior via Multi-Source Data
Wenjie Hu, Yang Yang, Jianbo Wang, Xuanwen Huang, Ziqiang Cheng
Abstract
Electricity theft, the behavior that involves users conducting illegal operations on electrical meters to avoid individual electricity bills, is a common phenomenon in the developing countries. Considering its harmfulness to both power grids and the public, several mechanized methods have been developed to automatically recognize electricity-theft behaviors. However, these methods, which mainly assess users’ electricity usage records, can be insufficient due to the diversity of theft tactics and the irregularity of user behaviors.
Topics & Concepts
ElectricityComputer scienceDiversity (politics)Risk analysis (engineering)Mains electricityPhenomenonEngineeringComputer securityPower (physics)Electric powerPower gridElectricity generationWork (physics)Electricity systemBusinessElectric power systemElectricity Theft Detection TechniquesSmart Grid Security and ResilienceWater Systems and Optimization