Knowledge Embedded Semi-Supervised Deep Learning for Detecting Non-Technical Losses in the Smart Grid

Bridging the Gap between Energy Consumption and Distribution through Non-Technical Loss Detection

(2019) Bernat Coma-Puig et al.   Energies

A Hybrid Method for Non-Technical Loss Detection in Smart Distribution Grids

(2019) George M. Messinis et al.   IEEE Transactions on Smart Grid

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

Review of various modeling techniques for the detection of electricity theft in smart grid environment

(2018) Tanveer Ahmad et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

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

A Novel Combined Data-Driven Approach for Electricity Theft Detection

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

A Tunable Fraud Detection System for Advanced Metering Infrastructure using Short-Lived Patterns

(2017) Marcelo Zanetti et al.   IEEE Transactions on Smart Grid

Unsupervised non-technical losses identification through optimum-path forest

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

Decision Tree and SVM-Based Data Analytics for Theft Detection in Smart Grid

(2016) Anish Jindal et al.   IEEE Transactions on Industrial Informatics

Electricity Theft Detection in AMI Using Customers’ Consumption Patterns

(2016) Paria Jokar et al.   IEEE Transactions on Smart Grid

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Improving Knowledge-Based Systems with statistical techniques, text mining, and neural networks for non-technical loss detection

(2014) Juan I. Guerrero et al.   KNOWLEDGE-BASED SYSTEMS

New Insights on Nontechnical Losses Characterization Through Evolutionary-Based Feature Selection

(2011) Caio César Oba Ramos et al.   IEEE TRANSACTIONS ON POWER DELIVERY

Detection of frauds and other non-technical losses in a power utility using Pearson coefficient, Bayesian networks and decision trees

(2011) Iñigo Monedero et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

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

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