Deep Autoencoder-Based Anomaly Detection of Electricity Theft Cyberattacks in Smart Grids

IEEE Systems Journal ◽

10.1109/jsyst.2021.3136683 ◽

2022 ◽

pp. 1-12

Author(s):

Abdulrahman Takiddin ◽

Muhammad Ismail ◽

Usman Zafar ◽

Erchin Serpedin

Keyword(s):

Anomaly Detection ◽

Smart Grids ◽

Electricity Theft

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

Journal of Parallel and Distributed Computing ◽

10.1016/j.jpdc.2021.03.002 ◽

2021 ◽

Author(s):

Nadeem Javaid ◽

Naeem Jan ◽

Muhammad Umar Javed

Keyword(s):

Big Data ◽

Smart Grids ◽

Siamese Network ◽

Electricity Theft

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An Ensemble Deep Convolutional Neural Network Model for Electricity Theft Detection in Smart Grids

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc42975.2020.9282837 ◽

2020 ◽

Author(s):

Hossein Mohammadi Rouzbahani ◽

Hadis Karimipour ◽

Lei Lei

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Network Model ◽

Neural Network Model ◽

Smart Grids ◽

Deep Convolutional Neural Network ◽

Electricity Theft

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Anomaly detection in smart grids with imbalanced data methods

2017 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci.2017.8285379 ◽

2017 ◽

Cited By ~ 2

Author(s):

Christian Promper ◽

Dominik Engel ◽

Robert C. Green

Keyword(s):

Anomaly Detection ◽

Smart Grids ◽

Imbalanced Data

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Synthetic Theft Attacks Implementation for Data Balancing and a Gated Recurrent Unit Based Electricity Theft Detection in Smart Grids

Complex, Intelligent and Software Intensive Systems - Lecture Notes in Networks and Systems ◽

10.1007/978-3-030-79725-6_39 ◽

2021 ◽

pp. 395-405

Author(s):

Pamir ◽

Ashraf Ullah ◽

Shoaib Munawar ◽

Muhammad Asif ◽

Benish Kabir ◽

...

Keyword(s):

Smart Grids ◽

Electricity Theft ◽

Gated Recurrent Unit

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Blockchain-based anomaly detection of electricity consumption in smart grids

Pattern Recognition Letters ◽

10.1016/j.patrec.2020.07.020 ◽

2020 ◽

Vol 138 ◽

pp. 476-482 ◽

Cited By ~ 3

Author(s):

Meng Li ◽

Keli Zhang ◽

Jiamou Liu ◽

Hanxiao Gong ◽

Zijian Zhang

Keyword(s):

Anomaly Detection ◽

Smart Grids ◽

Electricity Consumption

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Big Data Platform for Smart Grids Power Consumption Anomaly Detection

Proceedings of the 2019 Federated Conference on Computer Science and Information Systems ◽

10.15439/2019f210 ◽

2019 ◽

Cited By ~ 2

Author(s):

Peter Lipcàk ◽

Martin Macak ◽

Bruno Rossi

Keyword(s):

Big Data ◽

Anomaly Detection ◽

Power Consumption ◽

Smart Grids ◽

Data Platform

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Ensemble regression model-based anomaly detection for cyber-physical intrusion detection in smart grids

2016 IEEE Electrical Power and Energy Conference (EPEC) ◽

10.1109/epec.2016.7771704 ◽

2016 ◽

Cited By ~ 9

Author(s):

Anna Magdalena Kosek ◽

Oliver Gehrke

Keyword(s):

Intrusion Detection ◽

Anomaly Detection ◽

Regression Model ◽

Smart Grids ◽

Model Based ◽

Ensemble Regression

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Fog Computing Solution for Distributed Anomaly Detection in Smart Grids

2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) ◽

10.1109/wimob.2019.8923222 ◽

2019 ◽

Cited By ~ 1

Author(s):

Radwa El-Awadi ◽

Ana Fernandez-Vilas ◽

Rebeca P. Diaz Redondo

Keyword(s):

Anomaly Detection ◽

Smart Grids ◽

Fog Computing

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A Large-scale Replication of Smart Grids Power Consumption Anomaly Detection

Proceedings of the 5th International Conference on Internet of Things, Big Data and Security ◽

10.5220/0009396402880295 ◽

2020 ◽

Author(s):

Bruno Rossi

Keyword(s):

Anomaly Detection ◽

Power Consumption ◽

Smart Grids ◽

Large Scale

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A Stacked Machine and Deep Learning-based Approach for Analysing Electricity Theft in Smart Grids

IEEE Transactions on Smart Grid ◽

10.1109/tsg.2021.3134018 ◽

2021 ◽

pp. 1-1

Author(s):

Inam Ullah Khan ◽

Nadeem Javeid ◽

C. James Taylor ◽

Kelum A. A. Gamage ◽

Xiandong Ma

Keyword(s):

Deep Learning ◽

Smart Grids ◽

Electricity Theft

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