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AlexNet, AdaBoost and Artificial Bee Colony Based Hybrid Model for Electricity Theft Detection in Smart Grids

https://doi.org/10.1109/access.2022.3150016

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-79725-6_24openalex-snapshot

Alexnet-Adaboost-ABC Based Hybrid Neural Network for Electricity Theft Detection in Smart Grids

inferredcites →https://doi.org/10.1007/978-3-642-34266-0_16openalex-snapshot

Incentives and Security in Electricity Distribution Networks

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Transfer learning-based convolutional neural networks with heuristic optimization for hand gesture recognition

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Integrating big data driven sentiments polarity and ABC-optimized LSTM for time series forecasting

inferredcites →https://doi.org/10.1016/j.amc.2009.03.090openalex-snapshot

A comparative study of Artificial Bee Colony algorithm

inferredcites →https://doi.org/10.1016/j.amc.2010.08.049openalex-snapshot

Gbest-guided artificial bee colony algorithm for numerical function optimization

inferredcites →https://doi.org/10.1016/j.apenergy.2019.01.076openalex-snapshot

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

inferredcites →https://doi.org/10.1016/j.compeleceng.2019.106458openalex-snapshot

Real-time anomaly detection based on long short-Term memory and Gaussian Mixture Model

inferredcites →https://doi.org/10.1016/j.epsr.2020.106904openalex-snapshot

Ensemble machine learning models for the detection of energy theft

inferredcites →https://doi.org/10.1016/j.ijepes.2018.01.036openalex-snapshot

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

inferredcites →https://doi.org/10.1016/j.ijepes.2018.03.025openalex-snapshot

An anomaly detection framework for identifying energy theft and defective meters in smart grids

inferredcites →https://doi.org/10.1016/j.ijepes.2018.03.031openalex-snapshot

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

inferredcites →https://doi.org/10.1016/j.ijepes.2020.106448openalex-snapshot

Electricity theft detection based on stacked sparse denoising autoencoder

inferredcites →https://doi.org/10.1016/j.ijepes.2021.107085openalex-snapshot

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

inferredcites →https://doi.org/10.1016/j.jpdc.2021.03.002openalex-snapshot

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

inferredcites →https://doi.org/10.1088/1742-6596/893/1/012068openalex-snapshot

Multimodal optimization by using hybrid of artificial bee colony algorithm and BFGS algorithm

inferredcites →https://doi.org/10.1109/access.2017.2765626openalex-snapshot

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A PLSTM, AlexNet and ESNN Based Ensemble Learning Model for Detecting Electricity Theft in Smart Grids

inferredcites →https://doi.org/10.1109/ipdpsw.2010.5470701openalex-snapshot

A survey on bee colony algorithms

inferredcites →https://doi.org/10.1109/jiot.2019.2903281openalex-snapshot

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

inferredcites →https://doi.org/10.1109/peci.2017.7935765openalex-snapshot

Distilling provider-independent data for general detection of non-technical losses

inferredcites →https://doi.org/10.1109/tetc.2013.2274043openalex-snapshot

CONSUMER: A Novel Hybrid Intrusion Detection System for Distribution Networks in Smart Grid

inferredcites →https://doi.org/10.1109/tii.2017.2785963openalex-snapshot

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

inferredcites →https://doi.org/10.1109/tii.2018.2873814openalex-snapshot

A Novel Combined Data-Driven Approach for Electricity Theft Detection

inferredcites →https://doi.org/10.1109/tpami.2017.2709749openalex-snapshot

SIFT Meets CNN: A Decade Survey of Instance Retrieval

inferredcites →https://doi.org/10.1109/tpwrs.2018.2853162openalex-snapshot

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

inferredcites →https://doi.org/10.1109/tsg.2015.2425222openalex-snapshot

Electricity Theft Detection in AMI Using Customers’ Consumption Patterns

inferredcites →https://doi.org/10.1109/tsg.2016.2560801openalex-snapshot

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

inferredcites →https://doi.org/10.1109/tsg.2019.2892595openalex-snapshot

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

inferredcites →https://doi.org/10.1155/2019/4136874openalex-snapshot

Electricity Theft Detection in Power Grids with Deep Learning and Random Forests

inferredcites →https://doi.org/10.1155/2021/9933111openalex-snapshot

A Hybrid Deep Neural Network for Electricity Theft Detection Using Intelligent Antenna‐Based Smart Meters

inferredcites →https://doi.org/10.1504/ijaisc.2013.053392openalex-snapshot

Balanced artificial bee colony algorithm

inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot

SMOTE: Synthetic Minority Over-sampling Technique

inferredcites →https://doi.org/10.3390/app10093151openalex-snapshot

Detection of Non-Technical Losses Using SOSTLink and Bidirectional Gated Recurrent Unit to Secure Smart Meters

inferredcites →https://doi.org/10.3390/app10124378openalex-snapshot

LSTM and Bat-Based RUSBoost Approach for Electricity Theft Detection

inferredcites →https://doi.org/10.3390/en12173310openalex-snapshot

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

inferredcites →https://doi.org/10.3390/en13215599openalex-snapshot

A Combined Deep Learning and Ensemble Learning Methodology to Avoid Electricity Theft in Smart Grids

inferredcites →https://doi.org/10.3390/su12198023openalex-snapshot

Electricity Theft Detection Using Supervised Learning Techniques on Smart Meter Data

inferredcites →https://doi.org/10.4236/jpee.2016.49001openalex-snapshot

Methods and Techniques of Electricity Thieving in Pakistan

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