OMIEData 0.0.3.0

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, type:

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

in the command line, or use the .whl (or .tar.gz) file within dist (and dist_old) folders as:

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

or

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

to install a previous version.

Examples:

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

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 = OMIEMarginalPriceImporter(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 loads resulting of the daily market auction, breakdown by technologies:

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)

Other examples that illustrate the use of the package:

• example_energy_by_technology.py
• example_marginal_price.py

Enjoy!.