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:
