Code for the Paper "Wind speed prediction using multidimensional convolutional neuralnetworks" arXiv-Link

Usage

1. Install the necessary packages from the requirements.txt.
2. Specify the training parameters in train.py.
3. Execute train.py.

Training parameters

It is possible to train multiple models after each other by adding them to the list of models_to_test in the train_wind and train_wind_nl functions.

Proposed model

Our proposed model can be found in wind_models.py under the name MultidimConvNetwork. The Multidimensional Convolution Layer can be found in the same file under MultidimConv.

Citation

@inproceedings{trebing2020wind,
  title={Wind speed prediction using multidimensional convolutional neural networks},
  author={Trebing, Kevin and Mehrkanoon, Siamak},
  booktitle={IEEE symposium series on computational intelligence (IEEE-SSCI)},
  pages={713--720},
  year={2020},
  organization={IEEE}
}