Voltage Congestion Monitoring Through Machine Learning

Research output: Chapter in Book/Report/Conference proceedingConference paperResearch

Original languageEnglish
Title of host publication 27th International Conference on Electricity Distribution (CIRED 2023), Proceedings
Place of PublicationRome
PublisherInstitution of Engineering and Technology
Pages890-894
Number of pages5
Edition6
DOIs
Publication statusPublished - 2023
Event27th International Conference on Electricity Distribution (CIRED 2023) - Rome, Italy
Duration: 12 Jun 202315 Jun 2023

Publication series

NameIET Conference Proceedings

Conference

Conference27th International Conference on Electricity Distribution (CIRED 2023)
Country/TerritoryItaly
CityRome
Period12/06/2315/06/23

Bibliographical note

Funding Information:
The authors would like to thank Elektro Celje, d. d., Estabanell y Pahisa Energia, SA (EyPesa) and Osmangazi Elektrik Da÷ÕtÕm Aù (OEDAù) for the anonymised consumption data. This work has been supported by the BD4OPEM H2020 project, which has received funding from the European Union’s Horizon 2020 research and innovation program under Grant Agreement No. 872525.

Funding Information:
The authors would like to thank Elektro Celje, d. d., Estabanell y Pahisa Energia, SA (EyPesa) and Osmangazi Elektrik Da÷ÕtÕm Aù (OEDAù) for the anonymised consumption data. This work has been supported by the BD4OPEM H2020 project, which has received funding from the European Union's Horizon 2020 research and innovation program under Grant Agreement No. 872525.

Publisher Copyright:
© The Institution of Engineering and Technology 2023.

Keywords

  • low voltage distribution system
  • machine learning
  • smart meter
  • voltage violation

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