Deep learning-based electricity theft prediction in non-smart grid environments

Saqib, Sheikh Muhammad; Mazhar, Tehseen; Iqbal, Muhammad; Shahazad, Tariq; Almogren, Ahmad; Ouahada, Khmaies; Hamam, Habib

doi:10.1016/j.heliyon.2024.e35167

Heliyon

2024

DOI: 10.1016/j.heliyon.2024.e35167

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Deep learning-based electricity theft prediction in non-smart grid environments

Sheikh Muhammad Saqib,

Tehseen Mazhar,

Muhammad Iqbal

et al.

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Cited by 3 publications

References 46 publications

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Mixed metric dimension and exchange property of hexagonal nano-network

Liu,

Ali,

Azeem

et al. 2024

Sci Rep

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The mixed metric dimension of a graph is an important parameter in characterizing its structural complexity, specifically in nanoscale networks where precision is paramount. In this article, we calculate the mixed metric dimension of hexagonal nano-network, a modal with significant applications in nanotechnology and material science. Through rigorous analysis, we set up that the mixed metric dimension of the hexagonal nano-network is exactly three, highlighting its minimal but enough resolving set that uniquely identifies all vertices. Furthermore, we check out the exchange property within this context, demonstrating the robust adaptability of the hexagonal network’s resolving sets. Our findings display that the alternate assets aren’t the handiest preserved but stronger in these nano-networks, allowing for flexible adjustments in resolving sets without compromising the network’s integrity. This examination offers critical insights into the fundamental properties of hexagonal nano-networks, offering a theoretical foundation for future research in nanomaterial design and optimization. The results underscore the potential of leveraging mixed metric dimensions and exchange properties to achieve efficient and scalable solutions in nano-network applications.

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Deep learning-based electricity theft prediction in non-smart grid environments

Cited by 3 publications

References 46 publications

Performance analysis of a 400-Gbps DWDM-FSO system using advanced modulation formats and under adverse weather conditions

Performance analysis of a 400-Gbps DWDM-FSO system using advanced modulation formats and under adverse weather conditions

MobVGG: Ensemble technique for birds and drones prediction

Mixed metric dimension and exchange property of hexagonal nano-network

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