Ensemble-Learning-Based Decision Support System for Energy-Theft Detection in Smart-Grid Environment

Ensemble-Learning-Based Decision Support System for Energy-Theft Detection in Smart-Grid Environment

Theft of electricity poses a significant risk to the public and is the most costly non-technical loss for an electrical supplier. In addition to affecting the quality of the energy supply and the strain on the power grid, fraudulent electricity use drives up prices for honest customers and creates a...

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Bibliographic Details
Main Authors: Farah Mohammad, Kashif Saleem, Jalal Al-Muhtadi
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Energies
Subjects:
smart grids
cybersecurity
theft detection
network analysis
grid system
internet of things
Online Access:https://www.mdpi.com/1996-1073/16/4/1907

Internet

https://www.mdpi.com/1996-1073/16/4/1907

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