Please use this identifier to cite or link to this item: http://earchive.tpu.ru/handle/11683/46038
Title: Artificial neural networks as the data ruling components of future intelligent energy systems
Authors: Buran, Anna Leonidovna
Denisov, Maksim
Keywords: нейронные сети; интеллектуальные энергетические системы; программное обеспечение; искусственные сети; потребители; энергия
Issue Date: 2017
Publisher: EDP Sciences
Citation: Buran A. L. Artificial neural networks as the data ruling components of future intelligent energy systems / A. L. Buran, M. Denisov // MATEC Web of Conferences. — 2017. — Vol. 141 : Smart Grids 2017 : The Fifth International Youth Forum, October 9-13, 2017, Tomsk, Russia : [proceedings]. — [01049, 4 p.].
Abstract: The main target of this work is to study artificial neural networks and their role in the future intelligent energy systems. Artificial neural networks in the near future will be a very effective tool for data analysis and very perspective for energy consumers. The accelerating growth in the field of software engineering research will prove appearing of neural networks in intelligent energy systems. This study is expected to be important for researchers and engineers studying artificial neural networks (ANNs) in a wide range of domains.
URI: http://earchive.tpu.ru/handle/11683/46038
Appears in Collections:Материалы конференций

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