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

This paper presents a hybrid model, named as hybrid deep neural network, which combines convolutional neural network, particle swarm optimization, and gated recurrent unit, termed as convolutional neural network-particle swarm optimization-gated recurrent unit model. The major aims of the model are...

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Veröffentlicht in:	Wireless communications and mobile computing 2021, Vol.2021 (1)
Hauptverfasser:	Ullah, Ashraf, Javaid, Nadeem, Yahaya, Adamu Sani, Sultana, Tanzeela, Al-Zahrani, Fahad Ahmad, Zaman, Fawad
Format:	Artikel
Sprache:	eng
Schlagworte:	Antennas Artificial neural networks Benchmarks Consumers Datasets Decision trees Electric power Electric utilities Electricity Electricity consumption Electricity distribution Electricity meters Energy consumption Energy industry Feature extraction Fuzzy sets Game theory Genetic algorithms Machine learning Neural networks Optimization Outliers (statistics) Particle swarm optimization Principal components analysis Support vector machines Theft
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