Predicting Linearised Wind Resource Grids using Convolutional Neural Networks in Style Transfer and Encoder-Decoder Based Architectures

Helen M Sheehan, Elizabeth Traiger, Daniel J Poole, Lars Landberg

Research output: Contribution to conference › Conference Abstract › peer-review

1 results
- Title(descending)
- Award date

Machine learning for wind flow modelling: using grid-based neural networks to capture wind flow changes over terrain
Sheehan, H. M. (Author), Poole, D. (Supervisor) & Harper, P. (Supervisor), 22 Mar 2022
Student thesis: Master's Thesis › Master of Science by Research (MScR)

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