Sathya, M, Gunalan, K, S, Manohar, Anil Kumar, T, Shafi, Shaik, Johncy, G. (1400). An intellectual procurement innovation of smart grid power system with wireless communication networks based on machine learning. هنرهای کاربردی, 12(2), 1567-1576. doi: 10.22075/ijnaa.2021.5285
M Sathya; K Gunalan; Manohar B S; T CH Anil Kumar; Shaik Shafi; G Johncy. "An intellectual procurement innovation of smart grid power system with wireless communication networks based on machine learning". هنرهای کاربردی, 12, 2, 1400, 1567-1576. doi: 10.22075/ijnaa.2021.5285
Sathya, M, Gunalan, K, S, Manohar, Anil Kumar, T, Shafi, Shaik, Johncy, G. (1400). 'An intellectual procurement innovation of smart grid power system with wireless communication networks based on machine learning', هنرهای کاربردی, 12(2), pp. 1567-1576. doi: 10.22075/ijnaa.2021.5285
Sathya, M, Gunalan, K, S, Manohar, Anil Kumar, T, Shafi, Shaik, Johncy, G. An intellectual procurement innovation of smart grid power system with wireless communication networks based on machine learning. هنرهای کاربردی, 1400; 12(2): 1567-1576. doi: 10.22075/ijnaa.2021.5285

An intellectual procurement innovation of smart grid power system with wireless communication networks based on machine learning

International Journal of Nonlinear Analysis and Applications
دوره 12، شماره 2، بهمن 2021، صفحه 1567-1576    اصل مقاله (554.7 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2021.5285
نویسندگان
M Sathya* 1؛ K Gunalan2؛ Manohar B S3؛ T CH Anil Kumar4؛ Shaik Shafi5؛ G Johncy6
1Department of CSE, Islamiah Institute of Technology, Bangalore, India.
2Department of EEE, R. M. K College of Engineering and Technology, Chennai, India.
3Department of ECE, JSS Academy of Technical Education, Bengaluru, India.
4Department of Mechanical Engineering, Vignan’s Foundation for Science Technology and Research, Andra Pradesh, India.
5Department of ECE, B V Raju Institute of Technology, Telangana, India.
6Department of CSE, St.Xavier’s Catholic College of Engineering, Kanyakumari, India.
چکیده
The phased array antenna is one of the most significant applications in fifth-generation mobile networks. It is one of the most important applications in fifth-generation networks. An electric power source that powers the whole application, including the antenna's root, is required. Even with the most outstanding design, if the programme does not have a sound power supply system with minimal packet loss and can't Path find performance, it will be rendered ineffective. When seen from the perspective of the multiplex information, Machine Learning comprises a communication network based on the Internet that transmits information to the control centre via the objects (IOT). To put it another way, the proposed communication infrastructure, via the provision of, and the chance micro-grid state to collect, analyze, and two-way communication link control information, offers the chance to resolve the voltage regulation issues. This cutting-edge communication infrastructure, as well as a suggested state estimation filter focused on improving speed and performance in renewable energy production, are both examples of creative communication infrastructure. Current research is focused on analyzing and enumerating a range of energy abundances in the context of smart grids, which are now in their fifth generation. Rather than concentrating on the future development plan, which should be a problem of illusion, it should concentrate on the composition of the future potential of smart grid communications framework. An in-depth investigation to give evidence to the Machine learning will help intelligent networks in the future conduct a thorough evaluation.
کلیدواژه‌ها
Internet of Things (IoT)؛ Machine learning؛ communication infrastructure provides؛ Smart grid power supply system
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