entsoe-py 0.5.1

A python API wrapper for ENTSO-E

entsoe-py

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

Installation

python3 -m pip install entsoe-py

Usage

The package comes with 2 clients:

• EntsoeRawClient: Returns data in its raw format, usually XML or a ZIP-file containing XML's
• EntsoePandasClient: Returns data parsed as a Pandas Series or DataFrame

EntsoeRawClient

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'

# 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_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)

# 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)

Dump result to file

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)

Making another request

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)

EntsoePandasClient

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"

# 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, 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)

# 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_generation(country_code, start=start,end=end, psr_type=None)
client.query_generation_per_plant(country_code, start=start,end=end, psr_type=None)
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, 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_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, end, docstatus=None, periodstartupdate=None, periodendupdate=None)
client.query_withdrawn_unavailability_of_generation_units(country_code, start, end)
client.query_import(country_code, start, end)
client.query_generation_import(country_code, start, end)
client.query_procured_balancing_capacity(country_code, start, end, process_type, type_marketagreement_type=None)

Dump result to file

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')

Mappings

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