Machine learning application for the high-voltage equipment lifecycle forecasting

Alexandra Khalyasmaa, Stanislav Eroshenko, Maksim Elaev, Tran Duc Chung

Resultado de la investigación: Conference contribution

Idioma originalEnglish
Título de la publicación alojada2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728143460
DOI
EstadoPublished - jun 2020
Evento21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Bourgas, Bulgaria
Duración: 3 jun 20206 jun 2020

Serie de la publicación

Nombre2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020 - Proceedings

Conference

Conference21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020
PaísBulgaria
CiudadBourgas
Período03/06/202006/06/2020

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

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