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GitHub / awegroup / AWERA
Airborne Wind Energy Resource Analysis tool (AWERA) is meant to provide wind resource classification/representation and power harvesting estimation for AWES. It builds on wind profile clustering techniques used by Mark Schelbergen (TU Delft).
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/awegroup%2FAWERA
Stars: 4
Forks: 4
Open Issues: 9
License: mit
Language: Python
Repo Size: 89.7 MB
Dependencies:
111
Created: over 2 years ago
Updated: 9 months ago
Last pushed: 9 months ago
Last synced: 4 months ago
Topics: airborne-wind-energy, wind-energy, wind-resources
Files
Dependencies
- bokeh =2.2.3=py39hf3d152e_0
- bzip2 =1.0.8=h516909a_3
- c-ares =1.17.1=h36c2ea0_0
- ca-certificates =2020.11.8=ha878542_0
- cartopy =0.18
- certifi =2020.11.8=py39hf3d152e_0
- cftime =1.3.0=py39h16ac069_0
- click =7.1.2=pyh9f0ad1d_0
- cloudpickle =1.6.0=py_0
- curl =7.71.1=he644dc0_8
- cycler =0.10.0=py_2
- cytoolz =0.11.0=py39h07f9747_1
- dask =2.30.0=py_0
- dask-core =2.30.0=py_0
- distributed =2.30.1=py39hf3d152e_0
- freetype =2.10.4=h7ca028e_0
- fsspec =0.8.4=py_0
- geos =3.8.1=he1b5a44_0
- hdf4 =4.2.13=hf30be14_1003
- hdf5 =1.10.6=nompi_h2750804_1111
- heapdict =1.0.1=py_0
- jinja2 =2.11.2=pyh9f0ad1d_0
- jpeg =9d=h36c2ea0_0
- kiwisolver =1.3.1=py39h081fc7a_0
- krb5 =1.17.2=h926e7f8_0
- lcms2 =2.11=hcbb858e_1
- ld_impl_linux-64 =2.35.1=hed1e6ac_0
- libblas =3.9.0=3_openblas
- libcblas =3.9.0=3_openblas
- libcurl =7.71.1=hcdd3856_8
- libedit =3.1.20191231=he28a2e2_2
- libev =4.33=h516909a_1
- libffi =3.3=h58526e2_1
- libgcc-ng =9.3.0=h5dbcf3e_17
- libgfortran-ng =9.3.0=he4bcb1c_17
- libgfortran5 =9.3.0=he4bcb1c_17
- libgomp =9.3.0=h5dbcf3e_17
- liblapack =3.9.0=3_openblas
- libnetcdf =4.7.4=nompi_hefab0ff_106
- libnghttp2 =1.41.0=h8cfc5f6_2
- libopenblas =0.3.12=pthreads_h4812303_1
- libpng =1.6.37=h21135ba_2
- libssh2 =1.9.0=hab1572f_5
- libstdcxx-ng =9.3.0=h2ae2ef3_17
- libtiff =4.1.0=h4f3a223_6
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- locket =0.2.0=py_2
- lz4-c =1.9.2=he1b5a44_3
- markupsafe =1.1.1=py39h38d8fee_2
- matplotlib-base =3.3.3=py39h98787fa_0
- msgpack-python =1.0.0=py39h081fc7a_2
- ncurses =6.2=h58526e2_4
- netcdf4 =1.5.4=nompi_py39hb3be4b9_103
- numpy =1.19.4=py39h57d35e7_1
- olefile =0.46=pyh9f0ad1d_1
- openssl =1.1.1h=h516909a_0
- packaging =20.4=pyh9f0ad1d_0
- pandas =1.1.4=py39h9cfe711_0
- partd =1.1.0=py_0
- pillow =8.0.1=py39h397ff4d_0
- pip =20.2.4=py_0
- proj =7.2.0=h8b9fe22_0
- psutil =5.7.3=py39h38d8fee_0
- pyparsing =2.4.7=pyh9f0ad1d_0
- pyproj =3.0.0.post1=py39hb427721_0
- pyshp =2.1.2=pyh9f0ad1d_0
- python =3.9.0=hffdb5ce_5_cpython
- python-dateutil =2.8.1=py_0
- python_abi =3.9=1_cp39
- pytz =2020.4=pyhd8ed1ab_0
- pyyaml =5.3.1=py39h38d8fee_1
- readline =8.0=he28a2e2_2
- scipy =1.5.3=py39hee8e79c_0
- setuptools =49.6.0=py39h079e4ff_2
- six =1.15.0=pyh9f0ad1d_0
- sortedcontainers =2.3.0=pyhd8ed1ab_0
- sqlite =3.33.0=h4cf870e_1
- tblib =1.6.0=py_0
- tk =8.6.10=hed695b0_1
- toolz =0.11.1=py_0
- tornado =6.1=py39hbd71b63_0
- typing_extensions =3.7.4.3=py_0
- tzdata =2020d=h516909a_0
- wheel =0.35.1=pyh9f0ad1d_0
- xarray =0.16.1=py_0
- xz =5.2.5=h516909a_1
- yaml =0.2.5=h516909a_0
- zict =2.0.0=py_0
- zlib =1.2.11=h516909a_1010
- zstd =1.4.5=h6597ccf_2
- dask *
- matplotlib *
- netcdf4 *
- numpy *
- pandas *
- scikit-learn *
- scipy *
- xarray *
- cartopy =0.18
- dask *
- matplotlib *
- netcdf4 *
- numpy *
- pandas *
- pyoptsparse *
- python =3.7
- scikit-learn *
- scipy *
- tqdm *
- xarray *
- yaml *