Amanote Research
Register
Sign In
Tackling Energy Theft in Smart Grids Through Data-Driven Analysis
doi 10.1109/icnc47757.2020.9049793
Full Text
Open PDF
Abstract
Available in
full text
Date
February 1, 2020
Authors
Anish Jindal
Alberto Schaeffer-Filho
Angelos K. Marnerides
Paul Smith
Andreas Mauthe
Lisandro Granville
Publisher
IEEE
Related search
An Efficient Data-Driven False Data Injection Attack in Smart Grids
Smart Residential Load Simulator for Energy Management in Smart Grids
IEEE Transactions on Industrial Electronics
Control
Systems Engineering
Computer Science Applications
Electrical
Electronic Engineering
Energy Management and Smart Grids for Energy Productivity
International Journal of Economics, Finance and Management Sciences
Smart Grids: Enabler for the Energy Transition
EPJ Web of Conferences
Astronomy
Physics
Data-Driven Demand-Side Energy Management Approaches Based on the Smart Energy Network
Journal of Algorithms and Computational Technology
Computational Mathematics
Applied Mathematics
Numerical Analysis
Domestic Energy Management Methodology for Optimizing Efficiency in Smart Grids
Model Predictive Optimization for Energy Storage-Based Smart Grids
Communications in Computer and Information Science
Mathematics
Computer Science
Topology-Driven Performance Analysis of Power Grids
Data Theft