Modelling of turbine power and local wind conditions in wind farm using an autoencoder neural network

Suguang Dou*, Nikolay Dimitrov

*Corresponding author for this work

Research output: Contribution to conferenceConference abstract for conferenceResearch

Original languageEnglish
Publication date2022
Number of pages3
Publication statusPublished - 2022
EventThe Science of Making Torque from Wind 2022 - Delft, Netherlands
Duration: 1 Jun 20223 Jun 2022
Conference number: 9
https://www.torque2022.eu/

Conference

ConferenceThe Science of Making Torque from Wind 2022
Number9
Country/TerritoryNetherlands
CityDelft
Period01/06/202203/06/2022
Internet address

Keywords

  • Wind farm
  • Wake effects
  • Wake sources
  • Surrogate models
  • Artificial neural network
  • Auto-encoder
  • Latent variables
  • Parametrization

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