Metadata-Version: 2.1
Name: vre-eoles
Version: 0.1.7
Summary: toolbox for computing charge factor used in EOLES model
Home-page: https://github.com/Bertin-fap/CIRED-ENS
Author: ArrayStream(François Bertin)
Author-email: francois.bertin7@wanadoo.fr
License: MIT
Description: ## Product Name
        Toolbox to:
        - automatize extraction of wind speed and wind turbine FC via the renewable.ninja API  (https://www.renewables.ninja/).
        - build aggregated FC at the France level (B. Shirizadeh et al. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3592447, https://github.com/BehrangShirizadeh/EOLES_elecRES )
        - compare simulated wind turbine FC with the RTE experimental ones.
        - plot the results with geographical representation
        
        ## Installation
        Run the following to install:
        ```python
        pip install vre_eoles 
        ```
        
        ## Usage example
        **refer to** [image_features_extract-examples](https://github.com/Bertin-fap/EOLES_elecRES).
        
        
        # Release History
        0.1.0 
        
        # Meta
        	- François Bertin– francois.bertin7@wanadoo.fr 
        
        Distributed under the [MIT license](https://mit-license.org/)
        
        # About the authors
        	- François Bertin retired, formally senior scientist at CEA-LETI
Keywords: Image,data processing
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Description-Content-Type: text/markdown
