Convolutional neural network applied to detect electricity theft: A comparative study on unbalanced data handling techniques

Data mining for abnormal power consumption pattern detection based on local matrix reconstruction

(2020) Zhiying Feng et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Electricity Theft Detection in Smart Grid Systems: A CNN-LSTM Based Approach

(2019) Md. Nazmul Hasan et al.   Energies

Fraud Detection in Electric Power Distribution: An Approach That Maximizes the Economic Return

(2019) Pablo Massaferro et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Review of non-technical loss detection methods

(2018) George M. Messinis et al.   ELECTRIC POWER SYSTEMS RESEARCH

Wide and Deep Convolutional Neural Networks for Electricity-Theft Detection to Secure Smart Grids

(2018) Zibin Zheng et al.   IEEE Transactions on Industrial Informatics

NTL Detection in Electric Distribution Systems Using the Maximal Overlap Discrete Wavelet-Packet Transform and Random Undersampling Boosting

(2018) Nelson Fabian Avila et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Clustering-based novelty detection for identification of non-technical losses

(2018) Joaquim L. Viegas et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Detection of illegal consumers using pattern classification approach combined with Levenberg-Marquardt method in smart grid

(2018) Ali Akbar Ghasemi et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Detection of Non-Technical Losses Using Smart Meter Data and Supervised Learning

(2018) Madalina-Mihaela Buzau et al.   IEEE Transactions on Smart Grid

Social-Spider Optimization-based Support Vector Machines applied for energy theft detection

(2016) Danillo R. Pereira et al.   COMPUTERS & ELECTRICAL ENGINEERING

Unsupervised non-technical losses identification through optimum-path forest

(2016) Leandro Aparecido Passos Júnior et al.   ELECTRIC POWER SYSTEMS RESEARCH

A Multi-Sensor Energy Theft Detection Framework for Advanced Metering Infrastructures

(2013) Stephen McLaughlin et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Analysis of sampling techniques for imbalanced data: An n=648 ADNI study

(2013) Rashmi Dubey et al.   NEUROIMAGE

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

A novel algorithm for feature selection using Harmony Search and its application for non-technical losses detection

(2011) Caio C.O. Ramos et al.   COMPUTERS & ELECTRICAL ENGINEERING

Nontechnical Loss Detection for Metered Customers in Power Utility Using Support Vector Machines

(2009) Jawad Nagi et al.   IEEE TRANSACTIONS ON POWER DELIVERY