DeepAI AI Chat
Log In Sign Up

An Ensemble Deep Convolutional Neural Network Model for Electricity Theft Detection in Smart Grids

Smart grids extremely rely on Information and Communications Technology (ICT) and smart meters to control and manage numerous parameters of the network. However, using these infrastructures make smart grids more vulnerable to cyber threats especially electricity theft. Electricity Theft Detection (EDT) algorithms are typically used for such purpose since this Non-Technical Loss (NTL) may lead to significant challenges in the power system. In this paper, an Ensemble Deep Convolutional Neural Network (EDCNN) algorithm for ETD in smart grids has been proposed. As the first layer of the model, a random under bagging technique is applied to deal with the imbalance data, and then Deep Convolutional Neural Networks (DCNN) are utilized on each subset. Finally, a voting system is embedded, in the last part. The evaluation results based on the Area Under Curve (AUC), precision, recall, f1-score, and accuracy verify the efficiency of the proposed method compared to the existing method in the literature.


page 1

page 2

page 3

page 4


Deep Convolutional Neural Network Model for Short-Term Electricity Price Forecasting

In the modern power market, electricity trading is an extremely competit...

Detection of Malfunctioning Smart Electricity Meter

In this paper, a method for malfunctioning smart meter detection, based ...

Ensemble of Deep Convolutional Neural Networks for Automatic Pavement Crack Detection and Measurement

Automated pavement crack detection and measurement are important road is...

Deep Recurrent Electricity Theft Detection in AMI Networks with Random Tuning of Hyper-parameters

Modern smart grids rely on advanced metering infrastructure (AMI) networ...

Convolutional Neural Network for Elderly Wandering Prediction in Indoor Scenarios

This work proposes a way to detect the wandering activity of Alzheimer's...

An Online Approach to Cyberattack Detection and Localization in Smart Grid

Complex interconnections between information technology and digital cont...

Understanding Electricity-Theft Behavior via Multi-Source Data

Electricity theft, the behavior that involves users conducting illegal o...