3.1 - Source Descriptions

3.1.1 FTP Server

Connection details: 

METEOLOGICA (FTP server):

CSV files containing data about the forecast energy prices by country - Spain, Italy, Germany, France. 

Folders:

    • /20160301/Europe/Spain/PowerPrice/Forecast/Meteologica/Total/Hourly
    • /20160301/Europe/Spain/PowerPrice/Forecast/ECMWF-ENS/Total/Hourly
    • /20160301/Europe/Spain/PowerPrice/Observation/Total/Hourly
    • /20160301/Europe/Italy/PowerPrice/Forecast/Meteologica/CNOR/Total/Hourly
    • /20160301/Europe/France/PowerPrice/Forecast/Meteologica/Total/Hourly
    • /20160301/Europe/Germany/PowerPrice/Forecast/Meteologica/Total/Hourly

Folder structure (Example, /20160301/Europe/France/PowerPrice/Forecast/Meteologica/Total/Hourly for 2023.08.26):

    • France_PowerPrice_Forecast_Meteologica_post-ECMWF-ENS_Total_Hourly_202308260000.csv (data from 10 am)
    • France_PowerPrice_Forecast_Meteologica_Total_Hourly_202308261333.csv (data from 2 pm)
    • France_PowerPrice_Forecast_Meteologica_Total_Hourly_202308261533.csv (data from 4 pm)
    • France_PowerPrice_Forecast_Meteologica_post-ECMWF-ENS_Total_Hourly_202308261200.csv (data from 10 pm)

Files with the same date contain the same data, provided 4 times a day.

Structure of the files (example France_PowerPrice_Forecast_Meteologica_post-ECMWF-ENS_Total_Hourly_202308260000.csv): 


All four files are consolidated into one file with the additional column datetime_forecasted.

The STG/ODS table format is given below (table structures will be provided as a part of the Talend integration documentation): 

The different format is presented only in the SPAIN_ENS data source where there are 50 ens column with the presented prices, and the top, bottom and average price columns. 

3.1.2 Database 

Connection details:

  • Host = 34.140.71.199
  • Port = 5432
  • User = talend
  • Schema = public
  • Database = warehouse_ses_1

VENDOHM DATABASE: 

Gas & electricity (weekly, monthly, yearly values by location)

    • Tables with prices with the same structure (mapping is provided in the Excel file "List of tables_filters for Vendohm database of Robustify") 
      List of tables_filters for Vendohm database of Robustify
    • Meteo table curve_n_ometeo_870  (mapping with the definitions and curve IDs provided in the Excel file "Vendohm_meteo_mapping" -this should be provided as a Metadata table)
      Vendohm_meteo_mapping

Example of the structure (Vendohm data):


3.3.3 IRM DATABASE: 

Connection details:

Information about energy deals by market, site, product, etc., with prices.

Example of the structure (IRM data):


3.1.4 Google Sheets

GSHEETS:


Example of the structure: 


Responsible & contact points:

  • Alessandro Mainardi - Project Owner
  • Simon Bourguignon - Delivery Manager
  • Alba Carrero/ Gaetan Frenoy - Product Owner
  • Rui Ferraz - Project Manager
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