{ "info": { "author": "Jorge Filipe", "author_email": "jmfilipe@inesctec.pt", "bugtrack_url": null, "classifiers": [], "description": "Downloader for MIBEL Market Prices and Load/Wind Forecasts\r\n==========================================================\r\n\r\nSimple script to download public information provided by the portuguese and spanish TSOs (REN and REE).\r\nExports information as a csv file and/or as a pandas DataFrame. Takes into account daylight savings time.\r\n\r\nThis downloader supports:\r\n\r\n* MIBEL Day-ahead Energy Market Prices [REN.pt]\r\n* Portuguese Secundary Reserve Prices and Offers [REN.pt]\r\n* Portuguese Terciary Reserve Prices and Offers [REN.pt]\r\n* Iberian Load Forecasts - 7 days ahead [REE.es]\r\n* Iberian Wind Power Forecasts - 24 hours ahead [REE.es]\r\n* Portuguese Generation - hydro, solar, etc... [REN.pt]\r\n\r\nInstallation\r\n------------\r\n\r\n.. code-block:: bash\r\n\r\n pip install MIBEL_Downloader\r\n\r\nDependencies:\r\n\r\n* pandas\r\n* BeautifulSoup\r\n* html5lib\r\n\r\nDocumentation\r\n-------------\r\n\r\n.. code-block:: python\r\n\r\n download_range(download_type, start_date, end_date, timezone_, path)\r\n\r\n* **download_type**: 'day_ahead_price', 'secondary_reserve', 'tertiary_reserve', 'wind_forecast', 'load_forecast', 'generation_PT', 'secondary_offers','tertiary_offers'\r\n* **start_date**: format Y-m-d\r\n* **end_date**: format Y-m-d\r\n* **timezone\\_**: complete list of timezones at: http://stackoverflow.com/questions/13866926/python-pytz-list-of-timezones\r\n* **path**: False(bool) to disable .csv export; empty to use current directory; 'path' to defined specific path\r\n\r\nExample\r\n-------\r\n\r\n.. code-block:: python\r\n\r\n import MIBEL_Downloader as mibel\r\n\r\n # 'day_ahead_price'\r\n # 'secondary_reserve'\r\n # 'tertiary_reserve'\r\n # 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