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

• Published in: Optical and quantum electronics Vol. 56; no. 1
• Main Authors: Pavan Kumar, T. V. V., Taranath, N. L., Rahul, R., Chandra Shekara, G., Sapra, Pooja, Thandaiah Prabu, R., Metwally, Ahmed Sayed M., Kalam, M. A.
• Format: Journal Article
• Language: English
• Published: New York Springer US 2024; Springer Nature B.V
• Subjects: Characterization and Evaluation of Materials; Computer Communication Networks; Electrical Engineering; Industrial applications; Industry 4.0; Internet of Things; Lasers; Mathematical models; Optical Devices; Optics; Photonics; Physics; Physics and Astronomy; Industry 4.0; Fuzzy; Solar devices; Energy efficient
• ISSN: 0306-8919; 1572-817X
• DOI: 10.1007/s11082-023-05661-4

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.