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  • 标题:Implementation of artificial intelligence in the electric power industry
  • 本地全文:下载
  • 作者:Andrey Sozontov ; Maria Ivanova ; Arthur Gibadullin
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2019
  • 卷号:114
  • 页码:1-6
  • DOI:10.1051/e3sconf/201911401009
  • 出版社:EDP Sciences
  • 摘要:The article deals with the possibility of the implementation of artificial intelligence, which will improve the efficiency of national economy, including the energy industry. The paper presents the principles of using neural networks and elements of artificial intelligence in the processes of production, transmission and consumption of electricity. It has been revealed that the use of artificial intelligence in the electric power industry will make it possible to minimize disruptions in power supply.
  • 其他摘要:The article deals with the possibility of the implementation of artificial intelligence, which will improve the efficiency of national economy, including the energy industry. The paper presents the principles of using neural networks and elements of artificial intelligence in the processes of production, transmission and consumption of electricity. It has been revealed that the use of artificial intelligence in the electric power industry will make it possible to minimize disruptions in power supply.
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