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Scalable Energy Theft Detection in Analog Metering Systems: A Hybrid Machine Learning Framework Integrating Prophet, Isolation Forest, and LSTM Autoencoders

https://doi.org/10.2139/ssrn.5493575
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.enbuild.2018.01.017openalex-snapshot
A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review
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/10.1109/access.2022.3166146openalex-snapshot
Electricity Theft Detection in Smart Grids Based on Deep Neural Network
inferredcites →https://doi.org/10.1109/tii.2016.2543145openalex-snapshot
Decision Tree and SVM-Based Data Analytics for Theft Detection 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/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.2017.2753738openalex-snapshot
A Tunable Fraud Detection System for Advanced Metering Infrastructure Using Short-Lived Patterns
inferredcites →https://doi.org/10.1109/tsg.2018.2807925openalex-snapshot
Detection of Non-Technical Losses Using Smart Meter Data and Supervised Learning
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/10.1109/tsg.2020.3047864openalex-snapshot
Robust Electricity Theft Detection Against Data Poisoning Attacks in Smart Grids
inferredcites →https://doi.org/10.2991/ijcis.2017.10.1.51openalex-snapshot
The Challenge of Non-Technical Loss Detection Using Artificial Intelligence: A Survey
inferredcites →https://doi.org/10.3390/app10124378openalex-snapshot
LSTM and Bat-Based RUSBoost Approach for Electricity Theft Detection
inferredcites →https://doi.org/10.3390/electronics8080860openalex-snapshot
Ensemble Bagged Tree Based Classification for Reducing Non-Technical Losses in Multan Electric Power Company of Pakistan
inferredcites →https://doi.org/10.3390/en12173310openalex-snapshot
Electricity Theft Detection in Smart Grid Systems: A CNN-LSTM Based Approach
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