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Integrated encoder-decoder-based wide and deep convolution neural networks strategy for electricity theft arbitration

Abstract Integrating energy systems with information systems in smart grids offers a promising avenue for combating electricity theft by leveraging real-time data insights. Suspicious activity indicative of theft can be identified through anomalous consumption patterns observed in smart networks. Ho...

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Principais autores: Manoj Kumawat, Adeniyi Onaolapo, Gulshan Sharma, Ibrahim Cagri Barutcu, Temitope Adefarati, Ramesh Bansal
Format: Artigo
Sprog:Inglês
Udgivet: SpringerOpen 2024-04-01
Serier:Journal of Engineering and Applied Science
Fag:
Convolutional neural networks
Deep learning
Power system
Electricity theft
Smart grid
Online adgang:https://doi.org/10.1186/s44147-024-00428-4
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