A novel feature engineered-CatBoost-based supervised machine learning framework for electricity theft detection

Fuzzy Inference Based Electricity Theft Prevention System to Restrict Direct Tapping Over Distribution Line

(2020) Supriya Jaiswal et al.   Journal of Electrical Engineering & Technology

An Efficient Boosted C5.0 Decision-Tree-Based Classification Approach for Detecting Non-Technical Losses in Power Utilities

(2020) Muhammad Salman Saeed et al.   Energies

LSTM and Bat-Based RUSBoost Approach for Electricity Theft Detection

(2020) Muhammad Adil et al.   Applied Sciences-Basel

A novel unsupervised feature‐based approach for electricity theft detection using robust PCA and outlier removal clustering algorithm

(2020) Saddam Hussain et al.   International Transactions on Electrical Energy Systems

Energy Theft Detection Using Gradient Boosting Theft Detector With Feature Engineering-Based Preprocessing

(2019) Rajiv Punmiya et al.   IEEE Transactions on Smart Grid

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

(2019) Md. Nazmul Hasan et al.   Energies

Ensemble Bagged Tree Based Classification for Reducing Non-Technical Losses in Multan Electric Power Company of Pakistan

(2019) Saeed et al.   Electronics

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

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

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

Structured Literature Review of Electricity Consumption Classification Using Smart Meter Data

(2017) et al.   Energies

Solutions for detection of non-technical losses in the electricity grid: A review

(2017) Joaquim L. Viegas et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

Social norms, trust and control of power theft in Uganda: Does bulk metering work for MSEs?

(2015) Babette Never   ENERGY POLICY

The causes of electricity theft: An econometric analysis of the case of Turkey

(2015) Çağlar Yurtseven   Utilities Policy

A new method for pattern recognition in load profiles to support decision-making in the management of the electric sector

(2013) Adonias M.S. Ferreira et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Electricity theft as a relational issue: A comparative look at Zanzibar, Tanzania, and the Sunderban Islands, India

(2012) Tanja Winther   Energy for Sustainable Development

Exploring Malicious Meter Inspection in Neighborhood Area Smart Grids

(2012) Zhifeng Xiao et al.   IEEE Transactions on Smart Grid