OMIEData 0.1.0.1

Package to download electricity time series from https://www.omie.es/

OMIEData:

Python package to import data from OMIE (Iberian Peninsula's Electricity Market Operator): https://www.omie.es/

Concretely, you can easily access to data for the following markets:

• Daily market: hourly prices in Spain and Portugal, total hourly energy after auction (with/without billateral contracts), breakdown of the total hourly energy by technology and bid/ask curves.
• Intra-day market: hourly prices for the different sessions and total hourly energy.
• Additional data in next releases.

Installation

The package is uploaded at https://pypi.org/project/OMIEData/, so

python -m pip install OMIEData

from the command line will install the last version uploaded to pypi.

Aternatively, to install it from GitHub repository, type:

python -m pip install git+https://github.com/acruzgarcia/OMIEData

in the command line. You can also install the .whl or .tar.gz files within dist as:

python -m pip install OMIEData-VERSION-py3-none-any.whl

or

python -m pip install OMIEData-VERSION.tar.gz

or to install a previous version from dist_old.

Examples:

A very simple example to download hourly electricity prices and demand:

import datetime as dt
from OMIEData.DataImport.omie_marginalprice_importer import OMIEMarginalPriceFileImporter

dateIni = dt.datetime(2012, 3, 11)
dateEnd = dt.datetime(2012, 4, 15)

# This can take time, it is downloading the files from the website..
df = OMIEMarginalPriceFileImporter(date_ini=dateIni, date_end=dateEnd).read_to_dataframe(verbose=True)
df.sort_values(by='DATE', axis=0, inplace=True)
print(df)

Another example to download hourly demand resulting of the daily market auction, breakdown by technologies:

import datetime as dt
from OMIEData.Enums.all_enums import SystemType
from OMIEData.DataImport.omie_energy_by_technology_importer import OMIEEnergyByTechnologyImporter

dateIni = dt.datetime(2020, 6, 1)
dateEnd = dt.datetime(2020, 7, 30)
system_type = SystemType.SPAIN

# This can take time, it is downloading the files from the website..
df = OMIEEnergyByTechnologyImporter(date_ini=dateIni,
                                    date_end=dateEnd,
                                    system_type=system_type).read_to_dataframe(verbose=True)
df.sort_values(by=['DATE', 'HOUR'], axis=0, inplace=True)
print(df)

Another example to download supply/demand curves:

import datetime as dt
from OMIEData.DataImport.omie_supply_demand_curve_importer import OMIESupplyDemandCurvesImporter

dateIni = dt.datetime(2020, 6, 1)
dateEnd = dt.datetime(2020, 6, 1)
hour = 1

# This can take time, it is downloading the files from the website..
df = OMIESupplyDemandCurvesImporter(date_ini=dateIni, date_end=dateEnd, hour=hour).read_to_dataframe(verbose=True)
df.sort_values(by=['DATE', 'HOUR'], axis=0, inplace=True)
print(df)

Other examples that illustrate the use of the package in here:

• examples folder

Enjoy!.