doi of this repo:

doi of according publication: XXXX - will be added once published

This repository enables you to reproduce the results and apply the groundwater level forecasting mehtodology of:
Wunsch, A., Liesch, T., Broda, S., Groundwater Level Forecasting with Artificial Neural Networks: A Comparison of LSTM, CNN and NARX (submitted)

Contact: andreas.wunsch@kit.edu

ORCIDs of authors:
A. Wunsch: 0000-0002-0585-9549
T. Liesch: 0000-0001-8648-5333
S. Broda: 0000-0001-6858-6368

For a detailed description please refer to the publication. Please adapt all absolute loading/saving and software paths within the scripts to make them running, you need Matlab and Python software for a successful application. We further use the Python Package BayesianOptimization by fmfn. To run the Python Code please download and install this package.

• /CNN - Python Code
  Contains Python scripts of the models and necessary example files.

• /LSTM - Python Code
  Contains Python scripts of the models and necessary example files.

• /NARX - Matlab Code
  Contains Matlab scripts of the models and necessary example files.