Amanote Research

Amanote Research

    RegisterSign 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 JindalAlberto Schaeffer-FilhoAngelos K. MarneridesPaul SmithAndreas MautheLisandro Granville
Publisher

IEEE


Related search

An Efficient Data-Driven False Data Injection Attack in Smart Grids

2018English

Smart Residential Load Simulator for Energy Management in Smart Grids

IEEE Transactions on Industrial Electronics
ControlSystems EngineeringComputer Science ApplicationsElectricalElectronic Engineering
2019English

Energy Management and Smart Grids for Energy Productivity

International Journal of Economics, Finance and Management Sciences
2015English

Smart Grids: Enabler for the Energy Transition

EPJ Web of Conferences
AstronomyPhysics
2018English

Data-Driven Demand-Side Energy Management Approaches Based on the Smart Energy Network

Journal of Algorithms and Computational Technology
Computational MathematicsApplied MathematicsNumerical Analysis
2019English

Domestic Energy Management Methodology for Optimizing Efficiency in Smart Grids

2009English

Model Predictive Optimization for Energy Storage-Based Smart Grids

Communications in Computer and Information Science
MathematicsComputer Science
2018English

Topology-Driven Performance Analysis of Power Grids

2018English

Data Theft

2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy