Python client for the ENTSO-E API (european network of transmission system operators for electricity)
Documentation of the API found on https://transparency.entsoe.eu/content/static_content/Static%20content/web%20api/Guide.html
python3 -m pip install entsoe-py
The package comes with 2 clients:
EntsoeRawClient: Returns data in its raw format, usually XML or a ZIP-file containing XML'sEntsoePandasClient: Returns data parsed as a Pandas Series or DataFrame
from entsoe import EntsoeRawClient
import pandas as pd
client = EntsoeRawClient(api_key=<YOUR API KEY>)
start = pd.Timestamp('20171201', tz='Europe/Brussels')
end = pd.Timestamp('20180101', tz='Europe/Brussels')
country_code = 'BE' # Belgium
country_code_from = 'FR' # France
country_code_to = 'DE_LU' # Germany-Luxembourg
type_marketagreement_type = 'A01'
contract_marketagreement_type = 'A01'
process_type = 'A51'
# methods that return XML
client.query_day_ahead_prices(country_code, start, end)
client.query_net_position(country_code, start, end, dayahead=True)
client.query_load(country_code, start, end)
client.query_load_forecast(country_code, start, end)
client.query_wind_and_solar_forecast(country_code, start, end, psr_type=None)
client.query_intraday_wind_and_solar_forecast(country_code, start, end, psr_type=None)
client.query_generation_forecast(country_code, start, end)
client.query_generation(country_code, start, end, psr_type=None)
client.query_generation_per_plant(country_code, start, end, psr_type=None)
client.query_installed_generation_capacity(country_code, start, end, psr_type=None)
client.query_installed_generation_capacity_per_unit(country_code, start, end, psr_type=None)
client.query_crossborder_flows(country_code_from, country_code_to, start, end)
client.query_scheduled_exchanges(country_code_from, country_code_to, start, end, dayahead=False)
client.query_net_transfer_capacity_dayahead(country_code_from, country_code_to, start, end)
client.query_net_transfer_capacity_weekahead(country_code_from, country_code_to, start, end)
client.query_net_transfer_capacity_monthahead(country_code_from, country_code_to, start, end)
client.query_net_transfer_capacity_yearahead(country_code_from, country_code_to, start, end)
client.query_intraday_offered_capacity(country_code_from, country_code_to, start, end, implicit=True)
client.query_offered_capacity(country_code_from, country_code_to, start, end, contract_marketagreement_type, implicit=True)
client.query_contracted_reserve_prices(country_code, start, end, type_marketagreement_type, psr_type=None)
client.query_contracted_reserve_amount(country_code, start, end, type_marketagreement_type, psr_type=None)
client.query_procured_balancing_capacity(country_code, start, end, process_type, type_marketagreement_type=None)
client.query_aggregate_water_reservoirs_and_hydro_storage(country_code, start, end)
# methods that return ZIP (bytes)
client.query_imbalance_prices(country_code, start, end, psr_type=None)
client.query_unavailability_of_generation_units(country_code, start, end, docstatus=None, periodstartupdate=None, periodendupdate=None)
client.query_unavailability_of_production_units(country_code, start, end, docstatus=None, periodstartupdate=None, periodendupdate=None)
client.query_unavailability_transmission(country_code_from, country_code_to, start, end, docstatus=None, periodstartupdate=None, periodendupdate=None)
client.query_withdrawn_unavailability_of_generation_units(country_code, start, end)xml_string = client.query_day_ahead_prices(country_code, start, end)
with open('outfile.xml', 'w') as f:
f.write(xml_string)
zip_bytes = client.query_unavailability_of_generation_units(country_code, start, end)
with open('outfile.zip', 'wb') as f:
f.write(zip_bytes)Is the API-call you want not in the list, you can lookup the parameters yourself in the API documentation
params = {
'documentType': 'A44',
'in_Domain': '10YBE----------2',
'out_Domain': '10YBE----------2'
}
response = client._base_request(params=params, start=start, end=end)
print(response.text)The Pandas Client works similar to the Raw Client, with extras:
- Time periods that span more than 1 year are automatically dealt with
- Requests of large numbers of files are split over multiple API calls
Please note that this client requires you to specifically set a start= and end= parameter which should be a pandas timestamp with timezone. If not it will throw an exception
from entsoe import EntsoePandasClient
import pandas as pd
client = EntsoePandasClient(api_key=<YOUR API KEY>)
start = pd.Timestamp('20171201', tz='Europe/Brussels')
end = pd.Timestamp('20180101', tz='Europe/Brussels')
country_code = 'BE' # Belgium
country_code_from = 'FR' # France
country_code_to = 'DE_LU' # Germany-Luxembourg
type_marketagreement_type = 'A01'
contract_marketagreement_type = "A01"
process_type = 'A51'
# methods that return Pandas Series
client.query_day_ahead_prices(country_code, start=start, end=end)
client.query_net_position(country_code, start=start, end=end, dayahead=True)
client.query_crossborder_flows(country_code_from, country_code_to, start=start, end=end)
client.query_scheduled_exchanges(country_code_from, country_code_to, start=start, end=end, dayahead=False)
client.query_net_transfer_capacity_dayahead(country_code_from, country_code_to, start=start, end=end)
client.query_net_transfer_capacity_weekahead(country_code_from, country_code_to, start=start, end=end)
client.query_net_transfer_capacity_monthahead(country_code_from, country_code_to, start=start, end=end)
client.query_net_transfer_capacity_yearahead(country_code_from, country_code_to, start=start, end=end)
client.query_intraday_offered_capacity(country_code_from, country_code_to, start=start, end=end, implicit=True)
client.query_offered_capacity(country_code_from, country_code_to, contract_marketagreement_type, start=start, end=end, implicit=True)
client.query_aggregate_water_reservoirs_and_hydro_storage(country_code, start=start, end=end)
# methods that return Pandas DataFrames
client.query_load(country_code, start=start, end=end)
client.query_load_forecast(country_code, start=start, end=end)
client.query_load_and_forecast(country_code, start=start, end=end)
client.query_generation_forecast(country_code, start=start, end=end)
client.query_wind_and_solar_forecast(country_code, start=start, end=end, psr_type=None)
client.query_intraday_wind_and_solar_forecast(country_code, start=start, end=end, psr_type=None)
client.query_generation(country_code, start=start, end=end, psr_type=None)
client.query_generation_per_plant(country_code, start=start, end=end, psr_type=None, include_eic=False)
client.query_installed_generation_capacity(country_code, start=start, end=end, psr_type=None)
client.query_installed_generation_capacity_per_unit(country_code, start=start, end=end, psr_type=None)
client.query_imbalance_prices(country_code, start=start, end=end, psr_type=None)
client.query_contracted_reserve_prices(country_code, type_marketagreement_type, start=start, end=end, psr_type=None)
client.query_contracted_reserve_amount(country_code, type_marketagreement_type, start=start, end=end, psr_type=None)
client.query_unavailability_of_generation_units(country_code, start=start, end=end, docstatus=None, periodstartupdate=None, periodendupdate=None)
client.query_unavailability_of_production_units(country_code, start, end, docstatus=None, periodstartupdate=None, periodendupdate=None)
client.query_unavailability_transmission(country_code_from, country_code_to, start=start, end=end, docstatus=None, periodstartupdate=None, periodendupdate=None)
client.query_withdrawn_unavailability_of_generation_units(country_code, start, end)
client.query_physical_crossborder_allborders(country_code, start, end, export=True)
client.query_generation_import(country_code, start, end)
client.query_procured_balancing_capacity(country_code, process_type, start=start, end=end, type_marketagreement_type=None)See a list of all IO-methods on https://pandas.pydata.org/pandas-docs/stable/io.html
ts = client.query_day_ahead_prices(country_code, start=start, end=end)
ts.to_csv('outfile.csv')These lists are always evolving, so let us know if something's inaccurate!
All mappings can be found in mappings.py here
For bidding zone that have changed (splitted/merged) some codes are only valid for certain times. The below table shows these cases.
| 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | |
|---|---|---|---|---|---|---|---|
| DE_AT_LU | yes | yes | yes | yes | No Value | No Value | No Value |
| DE | No Value | No Value | No Value | No Value | No Value | No Value | No Value |
| DE_LU | No Value | No Value | No Value | yes | yes | yes | yes |
| AT | No Value | No Value | No Value | yes | yes | yes | yes |
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