An adaptive synthesis to handle imbalanced big data with deep siamese network for electricity theft detection in smart grids

A Deep Siamese Network with Hybrid Convolutional Feature Extraction Module for Change Detection Based on Multi-sensor Remote Sensing Images

(2020) Moyang Wang et al.   Remote Sensing

Detection of Non-Technical Losses in Power Utilities—A Comprehensive Systematic Review

(2020) Muhammad Salman Saeed et al.   Energies

A practical feature-engineering framework for electricity theft detection in smart grids

(2019) Rouzbeh Razavi et al.   APPLIED ENERGY

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

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

A Novel Smart Energy Theft System (SETS) for IoT-Based Smart Home

(2019) Weixian Li et al.   IEEE Internet of Things Journal

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

(2019) Md. Nazmul Hasan et al.   Energies

Investigation and Assessment of Stabilization Solutions for DC Microgrid With Dynamic Loads

(2019) Ahmed M. E. I. Mohamad et al.   IEEE Transactions on Smart Grid

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

(2019) Saeed et al.   Electronics

Utilizing Unlabeled Data to Detect Electricity Fraud in AMI: A Semisupervised Deep Learning Approach

(2019) Tianyu Hu et al.   IEEE Transactions on Neural Networks and Learning Systems

Design and hardware implementation of a security-enhanced elliptic curve cryptography based lightweight authentication scheme for smart grid communications

(2018) Dariush Abbasinezhad-Mood et al.   Future Generation Computer Systems-The International Journal of eScience

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

Identification of suspicious electricity customers

(2018) Josif V. Spirić et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

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

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

On the Study of Commercial Losses in Brazil: A Binary Black Hole Algorithm for Theft Characterization

(2018) Caio C. O. Ramos 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

An Accurate and Fast Converging Short-Term Load Forecasting Model for Industrial Applications in a Smart Grid

(2017) Ashfaq Ahmad et al.   IEEE Transactions on Industrial Informatics

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

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

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

Electricity Theft Detection in AMI Using Customers’ Consumption Patterns

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

Game-Theoretic Models of Electricity Theft Detection in Smart Utility Networks: Providing New Capabilities with Advanced Metering Infrastructure

(2015)   IEEE CONTROL SYSTEMS MAGAZINE

Integrating Geometrical Context for Semantic Labeling of Indoor Scenes using RGBD Images

(2015) Salman H. Khan et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION