Research output per year
Research output per year
Description
Git repository dedicated to the development of Graph Neural Networks (GNN) for predicting wind farm-wide power, local flow variables and loads. Our models aim to predict 10min average power, rotor averaged wind speed and effective turbulence intensity, along with damage equivalent loads (DELs) in blade flap- and edgewise directions, tower top tortional and bottom fore-aft and side-to-side. The use of GNNs allows for a layout-agnostic multivariate model. Code associated with the following papers:
"Flexible multi-fidelity framework for load estimation of wind farms through graph neural networks and transfer learning"
"Local flow and loads estimation on wake-affected wind turbines using graph neural networks and PyWake"
"Multivariate prediction on wake-affected wind turbines using graph neural networks"
"Flexible multi-fidelity framework for load estimation of wind farms through graph neural networks and transfer learning"
"Local flow and loads estimation on wake-affected wind turbines using graph neural networks and PyWake"
"Multivariate prediction on wake-affected wind turbines using graph neural networks"
| Date made available | 2024 |
|---|---|
| Publisher | GitHub |
-
Flexible multi-fidelity framework for load estimation of wind farms through graph neural networks and transfer learning
Duthé, G., De Nolasco Santos, F., Abdallah, I., Weijtjens, W., Devriendt, C. & Chatzi, E., 12 Nov 2024, In: Data-Centric Engineering. 5, p. 1-32 32 p., e29.Research output: Contribution to journal › Article › peer-review
Open Access -
Multivariate prediction on wake-affected wind turbines using graph neural networks
De Nolasco Santos, F., Duthé, G., Abdallah, I., Réthoré, P-É., Weijtjens, W., Chatzi, E. & Devriendt, C., 1 Jun 2024, In: Journal of Physics: Conference Series. 2647, 1, 11 p., 112006.Research output: Contribution to journal › Conference paper
Open Access -
Stochastic estimation of wake-induced loads in wind farms using conformalized graph neural networks
Duthé, G., De Nolasco Santos, F. & Chatzi, E., 1 Jul 2024, In: E-Journal of nondestructive testing. 2024-07, 8 p.Research output: Contribution to journal › Conference paper
Open Access