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Photovoltaic fuzzy based modelling on defining energy efficient solar devices in industry 4.0

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Abstract

The Internet of Things (IoT) is a phenomenon that connects all physical objects to one another and makes it possible for them to interact and collaborate via the web and other technologies. This phenomenon is also known as the internet of things. It is necessary for the devices to be self-sufficient, easily locateable, and unobtrusive to the human eye. A streamlined mathematical model that contains a variety of distinct laws serves as a metaphor for our whole body of information. This photovoltaic model represents our knowledge in its totality. This all-encompassing comprehension is built on top of a compilation of statutes, which serves as the framework. Depending on the goal of the user, it is possible that the rules will need to be altered in order to either maximize the benefits or minimize the amount of money spent on electricity. This will depend on how the rules are changed.

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Acknowledgements

This work was funded by the Researchers Supporting Project Number (RSP2023R363), King Saud University, Riyadh, Saudi Arabia.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, KG Reddy College of Engineering and Technology, Hyderabad, 501504, Telangana, India

    T. V. V. Pavan Kumar

  2. Department of Computer Science and Engineering, Alliance College of Engineering and Design, Alliance University, Bengaluru, 562106, Karnataka, India

    N. L. Taranath

  3. Department of Mathematics, BMS College of Engineering, Bengaluru, 560019, Karnataka, India

    R. Rahul & G. Chandra Shekara

  4. Department of Information Technology, Parul institute of Engineering and Technology, Parul University, Limda, Gujarat, 391760, India

    Pooja Sapra

  5. Department of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, 602105, Tamil Nadu, India

    R. Thandaiah Prabu

  6. Department of Mathematics, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia

    Ahmed Sayed M. Metwally

  7. School of Civil and Environmental Engineering, FEIT, University of Technology Sydney, Ultimo, NSW, 2007, Australia

    M. A. Kalam

Authors
  1. T. V. V. Pavan Kumar
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  2. N. L. Taranath
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  3. R. Rahul
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  4. G. Chandra Shekara
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  6. R. Thandaiah Prabu
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  8. M. A. Kalam
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Contributions

TVVPK Investigation, Methodology, Writing—review & editing. NLT Conceptualization, Formal analysis, Writing—review & editing. RR Conceptualization, Formal analysis, Writing—original draft Writing—review & editing. GCS Conceptualization, Writing—review & editing. PS Writing—review & editing. RTP Formal analysis, Writing—review & editing, ASMM Formal analysis, Writing—review & editing. MAK Formal analysis, Writing—review & editing.

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Correspondence to R. Thandaiah Prabu.

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Pavan Kumar, T.V.V., Taranath, N.L., Rahul, R. et al. Photovoltaic fuzzy based modelling on defining energy efficient solar devices in industry 4.0. Opt Quant Electron 56, 62 (2024). https://doi.org/10.1007/s11082-023-05661-4

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