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An Open-Source Tool...
An Open-Source Toolbox with Classical Classifiers for Electricity Theft Detection
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Liao, Wenlong (författare)
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Bak-Jensen, Birgitte (författare)
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Pillai, Jayakrishnan Radhakrishna (författare)
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Yang, Zhe (författare)
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- Wang, Yusen (författare)
- KTH,Teknisk informationsvetenskap
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers Inc. 2021
- 2021
- Engelska.
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Ingår i: 2021 IEEE 2nd China International Youth Conference on Electrical Engineering, CIYCEE 2021. - : Institute of Electrical and Electronics Engineers Inc..
- Relaterad länk:
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https://ciycee2021.a...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Recently, there is increasing interest in detecting electricity thieves for economic benefits for power companies, and many works aim to improve the accuracy of electricity theft detection. Nevertheless, a core obstacle that currently hinders the direct comparison of classifiers for electricity theft detection is the lack of a standard and public dataset, since fraudulent power load profiles are usually difficult to collect for various reasons, including cost, cumber, and confidentiality. Therefore, this paper presents an open-source toolbox, which generates different kinds of fraudulent power load profiles from attack models, and integrates classical classifiers (e.g., support vector machine, multi-layer perceptron, convolutional neural network, long short-term memory, bidirectional long short-term memory) with different performance as baselines for the comparison with new algorithms. Users can easily generate datasets and modify parameters of classical classifiers guided by user friendly interactive interfaces. The codes, toolbox, and user manuals are available online and it is free to use and extend them.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Nyckelord
- attack models
- classifier
- Electricity theft detection
- power load
- toolbox
- Brain
- Classification (of information)
- Crime
- Electric utilities
- Multilayer neural networks
- Support vector machines
- Attack modeling
- Comparison of classifiers
- Economic benefits
- Load profiles
- Open source toolboxes
- Power company
- Public dataset
- Long short-term memory
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)