Condition Based Assessment and Diagnostics of Transformer in Smart Grid Network Using Adaptive Neuro Fuzzy Inference System Framework

Soni, Rahul; Mehta, Bhinal

doi:10.1007/978-981-99-6774-2_13

Smart Innovation, Systems and Technologies

2023

DOI: 10.1007/978-981-99-6774-2_13

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Condition Based Assessment and Diagnostics of Transformer in Smart Grid Network Using Adaptive Neuro Fuzzy Inference System Framework

Rahul Soni,

Bhinal Mehta

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2024

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Cited by 2 publications

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Machine learning optimized efficient graphene-based ultra-broadband solar absorber for solar thermal applications

Alsharari,

Han,

Patel

et al. 2024

Sci Rep

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We designed an ultra-broadband graphene absorber structure with the applied resonator design based on the Al-AlSb-Cr structure, and a thin effective layer of graphene is inserted. To develop the role of the graphene in solar absorbers, the current structure investigates above 98% for 1500 nm bandwidth and 2800 nm (overall bandwidth) for 93.68%. In this study, the procedure of the investigated design in flow chat configuration, the multi-step presentation of the developed layers, and the analysis of the used parameters will be involved. The design is optimized using machine learning algorithm. The optimized design shows good performance compared to the other system. The newly investigated graphene design can be absorbed not only in visible places but also in near-infrared energy and ultraviolet zones. The other applications of the light trapping process, photovoltaic devices, and energy harvesting can also be used.

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Machine learning optimized efficient graphene-based ultra-broadband solar absorber for solar thermal applications

Alsharari,

Han,

Patel

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

Artificial Neural Fuzzy Inference Rule-Based (ANFIS) Model for Offloading Tasks for Edge, Cloud, and UAVs Environment

Ibrahim,

Sajid,

Ullah

et al. 2024

IEEE Access

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scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Condition Based Assessment and Diagnostics of Transformer in Smart Grid Network Using Adaptive Neuro Fuzzy Inference System Framework

Cited by 2 publications

References 15 publications

Machine learning optimized efficient graphene-based ultra-broadband solar absorber for solar thermal applications

Machine learning optimized efficient graphene-based ultra-broadband solar absorber for solar thermal applications

Artificial Neural Fuzzy Inference Rule-Based (ANFIS) Model for Offloading Tasks for Edge, Cloud, and UAVs Environment

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