gduthe / windfarm-gnnLinks
GNNs to predict wind farm-wide power, local flow variables and damage-equivalent loads.
☆17Updated 7 months ago
Alternatives and similar repositories for windfarm-gnn
Users that are interested in windfarm-gnn are comparing it to the libraries listed below
Sorting:
- The public repository about our joint FINN research project☆36Updated 2 years ago
- ☆13Updated 5 years ago
- Try to approximate the solution of Fokker-Planck equation☆9Updated last year
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 4 years ago
- Research project conducted at Pacific Northwest National Laboratory, exploring the use of physics-informed autoencoders to predict fluid …☆35Updated 2 years ago
- Offshore wind farm wake modelling using deep feed forward neural networks for active yaw control and layout optimisation☆37Updated last year
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆21Updated 4 years ago
- Quantification of Uncertainties in Neural Networks☆11Updated 2 months ago
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆16Updated last year
- Exploit Auto-encoder for exploring and predict flow dynamic☆10Updated 5 years ago
- ☆30Updated 2 years ago
- Physics informed neural networks for control-oriented building thermal models☆28Updated 3 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆46Updated 2 years ago
- multifidelity global sensitivity analysis☆16Updated 2 years ago
- ☆38Updated last year
- Multi-fidelity Generative Deep Learning Turbulent Flows☆38Updated 4 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆19Updated 2 years ago
- ☆19Updated 3 years ago
- Bayesian Physics-Informed Neural Networks for Robust System Identification of Power Systems☆12Updated 2 years ago
- One-Shot Transfer Learning of PINNs☆11Updated 2 years ago
- a novel framework based on a physics-informed neural network dubbed as PhysCon that combines the interpretable ability of physical laws a…☆13Updated 2 years ago
- Uncertainty Quantification in the POD-NN framework☆22Updated 4 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- Material for the tutorial on "Physics-Informed Machine Learning (PIML) for Modeling and Control of Dynamical Systems" presented at the Am…☆19Updated last year
- Multi-fidelity reduced-order surrogate modeling☆23Updated last week
- A GNN-based surrogate model of urban drainage networks.☆20Updated last week
- Implementation of Dabrowski et. al., "Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wi…☆19Updated last year
- ☆10Updated 4 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆30Updated 4 years ago
- ☆93Updated 5 years ago