Library for fetching and converting weather data to power systems data
Atlite is a free software, xarray-based Python library for converting weather data (like wind speeds, solar influx) into energy systems data. It is designed to be lightweight, keeping computing resource requirements (CPU, RAM) usage low. It is therefore well suited to be used with big weather datasets.
Atlite can process the following weather data fields and can convert them into following power-system relevant time series for any subsets of a full weather database.
Atlite was initially developed by the Renewable Energy Group at FIAS to carry out simulations for the CoNDyNet project, financed by the German Federal Ministry for Education and Research (BMBF) as part of the Stromnetze Research Initiative.
To install you need a working installation running Python 3.6 or above and we strongly recommend using either miniconda or anaconda for package management.
To install the current stable version:
with conda from conda-forge
conda install -c conda-forge atlite
with pip from pypi
pip install atlite
to install the most recent upstream version from GitHub
pip install git+https://github.com/pypsa/atlite.git
Please check the documentation.
If you have any ideas, suggestions or encounter problems, feel invited to file issues or make pull requests on GitHub. A Discord server hosts every tool in the PyPSA ecosystem. We have there public voice and text channels that are suitable to organise projects, ask questions, share news, or chat with the community.
This work is licensed under multiple licences:
All original source code is licensed under MIT
Auxiliary code from SPHINX is licensed under BSD-2-Clause.
The documentation is licensed under CC-BY-4.0.
Configuration and data files are mostly licensed under CC0-1.0.
See the individual files for license details.
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