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  • 标题:Artificial intelligence technologies as a factor in increasing the economic efficiency of generating companies
  • 本地全文:下载
  • 作者:Elena Troianova ; Evgenia Lerman ; Elena Baliasnikova
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2021
  • 卷号:288
  • 页码:1-6
  • DOI:10.1051/e3sconf/202128801067
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:The article deals with the application of modern artificial intelligence technologies that affect the economic efficiency of generating companies. Scientific novelty lies in the approach to the consideration of artificial intelligence as both external and internal factors of influence on the dynamics of production and consumption of electricity. As a result of the study, the key aspects of the growth of the economic efficiency of the activities of energy generating companies are highlighted and characterized. The forecast of the prospective sustainable development of certain areas of the energy sector and the increase in energy consumption is presented.
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