Session Materials

Deep Learning-Based Wind Power Low Output Process Forecast Using CGAN and Convolutional Residual Network

Ref C1-10208-2024 • 2024
  • Price for member: 20 €
  • Price for non member: 30 €
Deep Learning-Based Wind Power Low Output Process Forecast Using CGAN and Convolutional Residual Network

Summary

Session Delegates (Members and non-members): access these materials for free via your Session registration account.

Additional informations

Publication type Session Materials
Reference C1-10208-2024
Publication year
Publisher CIGRE
Study committees
  • Power system development and economics (C1)
File size 2 MB
Price for non member 30 €
Price for member 20 €

Authors

Zhao WANG, Zhiyuan MA, Bo WANG, Chun LIU

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Deep Learning-Based Wind Power Low Output Process Forecast Using CGAN and Convolutional Residual Network
Deep Learning-Based Wind Power Low Output Process Forecast Using CGAN and Convolutional Residual Network