Skip to main content

A python API wrapper for ENTSO-E

Project description

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'

# methods that return XML
client.query_day_ahead_prices(country_code, start, end)
client.query_net_position_dayahead(country_code, start, end)
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_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
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'

# methods that return Pandas Series
client.query_day_ahead_prices(country_code, start=start,end=end)
client.query_net_position_dayahead(country_code, start=start, end=end)
client.query_load(country_code, start=start,end=end)
client.query_load_forecast(country_code, start=start,end=end)
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)

# methods that return Pandas DataFrames
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!

Domains

DOMAIN_MAPPINGS = {
    'AL': '10YAL-KESH-----5',
    'AT': '10YAT-APG------L',
    'BA': '10YBA-JPCC-----D',
    'BE': '10YBE----------2',
    'BG': '10YCA-BULGARIA-R',
    'BY': '10Y1001A1001A51S',
    'CH': '10YCH-SWISSGRIDZ',
    'CZ': '10YCZ-CEPS-----N',
    'DE': '10Y1001A1001A83F',
    'DK': '10Y1001A1001A65H',
    'EE': '10Y1001A1001A39I',
    'ES': '10YES-REE------0',
    'FI': '10YFI-1--------U',
    'FR': '10YFR-RTE------C',
    'GB': '10YGB----------A',
    'GB_NIR': '10Y1001A1001A016',
    'GR': '10YGR-HTSO-----Y',
    'HR': '10YHR-HEP------M',
    'HU': '10YHU-MAVIR----U',
    'IE': '10YIE-1001A00010',
    'IT': '10YIT-GRTN-----B',
    'LT': '10YLT-1001A0008Q',
    'LU': '10YLU-CEGEDEL-NQ',
    'LV': '10YLV-1001A00074',
    # 'MD': 'MD',
    'ME': '10YCS-CG-TSO---S',
    'MK': '10YMK-MEPSO----8',
    'MT': '10Y1001A1001A93C',
    'NL': '10YNL----------L',
    'NO': '10YNO-0--------C',
    'PL': '10YPL-AREA-----S',
    'PT': '10YPT-REN------W',
    'RO': '10YRO-TEL------P',
    'RS': '10YCS-SERBIATSOV',
    'RU': '10Y1001A1001A49F',
    'RU_KGD': '10Y1001A1001A50U',
    'SE': '10YSE-1--------K',
    'SI': '10YSI-ELES-----O',
    'SK': '10YSK-SEPS-----K',
    'TR': '10YTR-TEIAS----W',
    'UA': '10YUA-WEPS-----0',
    'DE_AT_LU': '10Y1001A1001A63L',
    'DE_LU':'10Y1001A1001A82H',
}

Bidding Zones

BIDDING_ZONES = DOMAIN_MAPPINGS.copy()
BIDDING_ZONES.update({
    'DE': '10Y1001A1001A63L',  # DE-AT-LU
    'LU': '10Y1001A1001A63L',  # DE-AT-LU
    'IT_NORD': '10Y1001A1001A73I',
    'IT_CNOR': '10Y1001A1001A70O',
    'IT_CSUD': '10Y1001A1001A71M',
    'IT_SUD': '10Y1001A1001A788',
    'IT_FOGN': '10Y1001A1001A72K',
    'IT_ROSN': '10Y1001A1001A77A',
    'IT_BRNN': '10Y1001A1001A699',
    'IT_PRGP': '10Y1001A1001A76C',
    'IT_SARD': '10Y1001A1001A74G',
    'IT_SICI': '10Y1001A1001A75E',
    'IT_CALA': '10Y1001C--00096J',
    'NO_1': '10YNO-1--------2',
    'NO_2': '10YNO-2--------T',
    'NO_3': '10YNO-3--------J',
    'NO_4': '10YNO-4--------9',
    'NO_5': '10Y1001A1001A48H',
    'SE_1': '10Y1001A1001A44P',
    'SE_2': '10Y1001A1001A45N',
    'SE_3': '10Y1001A1001A46L',
    'SE_4': '10Y1001A1001A47J',
    'DK_1': '10YDK-1--------W',
    'DK_2': '10YDK-2--------M'
})

PSR-type

PSRTYPE_MAPPINGS = {
    'A03': 'Mixed',
    'A04': 'Generation',
    'A05': 'Load',
    'B01': 'Biomass',
    'B02': 'Fossil Brown coal/Lignite',
    'B03': 'Fossil Coal-derived gas',
    'B04': 'Fossil Gas',
    'B05': 'Fossil Hard coal',
    'B06': 'Fossil Oil',
    'B07': 'Fossil Oil shale',
    'B08': 'Fossil Peat',
    'B09': 'Geothermal',
    'B10': 'Hydro Pumped Storage',
    'B11': 'Hydro Run-of-river and poundage',
    'B12': 'Hydro Water Reservoir',
    'B13': 'Marine',
    'B14': 'Nuclear',
    'B15': 'Other renewable',
    'B16': 'Solar',
    'B17': 'Waste',
    'B18': 'Wind Offshore',
    'B19': 'Wind Onshore',
    'B20': 'Other',
    'B21': 'AC Link',
    'B22': 'DC Link',
    'B23': 'Substation',
    'B24': 'Transformer'}

Docstatus

DOCSTATUS = {
    'A05': 'Active',
    'A09': 'Cancelled',
    'A13': 'Withdrawn'
}

BSN-type

BSNTYPE = {'A29': 'Already allocated capacity (AAC)',
           'A43': 'Requested capacity (without price)',
           'A46': 'System Operator redispatching',
           'A53': 'Planned maintenance',
           'A54': 'Unplanned outage',
           'A85': 'Internal redispatch',
           'A95': 'Frequency containment reserve',
           'A96': 'Automatic frequency restoration reserve',
           'A97': 'Manual frequency restoration reserve',
           'A98': 'Replacement reserve',
           'B01': 'Interconnector network evolution',
           'B02': 'Interconnector network dismantling',
           'B03': 'Counter trade',
           'B04': 'Congestion costs',
           'B05': 'Capacity allocated (including price)',
           'B07': 'Auction revenue',
           'B08': 'Total nominated capacity',
           'B09': 'Net position',
           'B10': 'Congestion income',
           'B11': 'Production unit'}

DocumentType

DOCUMENTTYPE = {'A09': 'Finalised schedule',
                'A11': 'Aggregated energy data report',
                'A25': 'Allocation result document',
                'A26': 'Capacity document',
                'A31': 'Agreed capacity',
                'A44': 'Price Document',
                'A61': 'Estimated Net Transfer Capacity',
                'A63': 'Redispatch notice',
                'A65': 'System total load',
                'A68': 'Installed generation per type',
                'A69': 'Wind and solar forecast',
                'A70': 'Load forecast margin',
                'A71': 'Generation forecast',
                'A72': 'Reservoir filling information',
                'A73': 'Actual generation',
                'A74': 'Wind and solar generation',
                'A75': 'Actual generation per type',
                'A76': 'Load unavailability',
                'A77': 'Production unavailability',
                'A78': 'Transmission unavailability',
                'A79': 'Offshore grid infrastructure unavailability',
                'A80': 'Generation unavailability',
                'A81': 'Contracted reserves',
                'A82': 'Accepted offers',
                'A83': 'Activated balancing quantities',
                'A84': 'Activated balancing prices',
                'A85': 'Imbalance prices',
                'A86': 'Imbalance volume',
                'A87': 'Financial situation',
                'A88': 'Cross border balancing',
                'A89': 'Contracted reserve prices',
                'A90': 'Interconnection network expansion',
                'A91': 'Counter trade notice',
                'A92': 'Congestion costs',
                'A93': 'DC link capacity',
                'A94': 'Non EU allocations',
                'A95': 'Configuration document',
                'B11': 'Flow-based allocations'}

ProcessType

PROCESSTYPE = {
    'A01': 'Day ahead',
    'A02': 'Intra day incremental',
    'A16': 'Realised',
    'A18': 'Intraday total',
    'A31': 'Week ahead',
    'A32': 'Month ahead',
    'A33': 'Year ahead',
    'A39': 'Synchronisation process',
    'A40': 'Intraday process',
    'A46': 'Replacement reserve',
    'A47': 'Manual frequency restoration reserve',
    'A51': 'Automatic frequency restoration reserve',
    'A52': 'Frequency containment reserve',
    'A56': 'Frequency restoration reserve'
}

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

entsoe-py-0.3.8.tar.gz (26.3 kB view details)

Uploaded Source

Built Distribution

entsoe_py-0.3.8-py3-none-any.whl (23.7 kB view details)

Uploaded Python 3

File details

Details for the file entsoe-py-0.3.8.tar.gz.

File metadata

  • Download URL: entsoe-py-0.3.8.tar.gz
  • Upload date:
  • Size: 26.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.7.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.6

File hashes

Hashes for entsoe-py-0.3.8.tar.gz
Algorithm Hash digest
SHA256 260c8132999f6ec0a7b77ec9b4feb569c8c6ba1690c49e9b48f2556e60c22a1e
MD5 e2b04320fc1a63a202769abd8540c494
BLAKE2b-256 1e81742001c19dee6bdab311fbabf7082293f06feae90eb349da3abf631e8ec0

See more details on using hashes here.

File details

Details for the file entsoe_py-0.3.8-py3-none-any.whl.

File metadata

  • Download URL: entsoe_py-0.3.8-py3-none-any.whl
  • Upload date:
  • Size: 23.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.7.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.6

File hashes

Hashes for entsoe_py-0.3.8-py3-none-any.whl
Algorithm Hash digest
SHA256 b90d1dcb4d7237f92390bdf5fd0fc85b141066f99ae873ce7e8a1797aa0f45c6
MD5 2f21dcd2a0755d9ff396bac4aee40069
BLAKE2b-256 07e9a60cddc503b625cac884e508515b4b331aa050ca037eef9a914f00fc3db8

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page