Application of Neural Networks for the Optimization in Using of Alternative Energy Sources Processes

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dc.contributor.authorZabarylo, P.O.
dc.contributor.authorZabarylo, O.V.
dc.contributor.authorKorotkykh, J.A.
dc.date.accessioned2024-10-07T10:03:36Z
dc.date.available2024-10-07T10:03:36Z
dc.date.issued2024
dc.description.abstractA brief description of the general state of energy supply systems in Ukraine is provided and the main prospects for their further development in the context of energy efficiency and the involvement of renewable sources of energy generation are outlined. The need to involve more rational and effective approaches to their management is substantiated. The advantages of neural networks as one of the most effective tools for the management of complex systems are considered. Their most common classification is given and the spheres of the energy sector where their involvement will be most appropriate are specified. Further prospects for future research in this direction are outlined.
dc.identifier.citationZabarylo, P.O., Zabarylo, O.V., Korotkykh, J.A. (2024). Application of Neural Networks for the Optimization in Using of Alternative Energy Sources Processes. Proceedings of the 19th International Conference on Modern Achievements of Science And Education, September 29 – October 06, 2024, Netanya (Israel). Khmelnytskyi National University. 72-75
dc.identifier.isbn978-966-8776-54-0
dc.identifier.urihttps://elar.khmnu.edu.ua/handle/123456789/16892
dc.language.isoen
dc.publisherKhmelnytskyi National University
dc.subjectenergy efficiency
dc.subjectenergy systems
dc.subjectalternative energy sources
dc.subjectneural networks
dc.subjectperceptron
dc.titleApplication of Neural Networks for the Optimization in Using of Alternative Energy Sources Processes
dc.typeСтаття
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Сучасні досягнення в науці та освіті - 2024