Code for the Paper "Wind speed prediction using multidimensional convolutional neuralnetworks" arXiv-Link
- Install the necessary packages from the
requirements.txt
. - Specify the training parameters in
train.py
. - Execute
train.py
.
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.
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
.
@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}
}