<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In the era of big data, the growing volume of data in electrical systems has led to a rise in electric theft incidents, posing challenges to grid security. This paper introduces a detection method using the Sine chaotic genetic algorithm to optimize multilayer Backpropagation (BP) neural networks. Initially, a comprehensive dataset is compiled through extensive data collection. A multilayer BP neural network is then trained on this dataset for automated theft identification. Leveraging the Sine chaotic genetic algorithm further enhances network performance. Experimental results show an 88% prediction accuracy, offering improved accuracy, speed, and usability over traditional methods.</p>
</abstract>

In the era of big data, the growing volume of data in electrical systems has led to a rise in electric theft incidents, posing challenges to grid security. This paper introduces a detection method using the Sine chaotic genetic algorithm to optimize multilayer Backpropagation (BP) neural networks. Initially, a comprehensive dataset is compiled through extensive data collection. A multilayer BP neural network is then trained on this dataset for automated theft identification. Leveraging the Sine chaotic genetic algorithm further enhances network performance. Experimental results show an 88% prediction accuracy, offering improved accuracy, speed, and usability over traditional methods.

Electric Theft Detection Based on Multilayer Backpropagation Neural Network Optimized by Sine Chaotic Genetic Algorithm

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In the era of big data, the growing volume of data in electrical systems has led to a rise in electric theft incidents, posing challenges to grid security....

Electric Theft Detection Based on Multilayer Backpropagation Neural Network Optimized by Sine Chaotic Genetic Algorithm

Online veröffentlicht: 20. Apr. 2024

Seitenbereich: -

Eingereicht: 04. Apr. 2024

Akzeptiert: 10. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0850

Schlüsselwörter
multilayer BP neural network, electric theft detection, sine chaotic mapping, genetic algorithm

© 2024 Shangru Jia, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Electric Theft Detection Based on Multilayer Backpropagation Neural Network Optimized by Sine Chaotic Genetic Algorithm

Online veröffentlicht: 20. Apr. 2024

Seitenbereich: -

Eingereicht: 04. Apr. 2024

Akzeptiert: 10. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0850

Schlüsselwörtermultilayer BP neural network, electric theft detection, sine chaotic mapping, genetic algorithm

© 2024 Shangru Jia, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
multilayer BP neural network, electric theft detection, sine chaotic mapping, genetic algorithm