enda 0.0.1

Tools to manipulate energy time-series and contracts, and to perform forecasts.

enda

What is it?

enda is a Python package that provides tools to manipulate timeseries data in conjunction with contracts data for analysis and forecasts.

Its main goal is to help Rescoop.eu build various applications, such as short-term electricity load and production forecasts, specifically for the RescoopVPP project. Hence some tools in this package perform TSO (transmission network operator) and DNO (distribution network operator) data wrangling for several European countries, as well as weather data.

Main Features

Here are some things enda does well:

• Provide robust machine learning algorithms for short-term electricty load (and soon production) forecasts, developed by Enercoop and originally based on Komi Nagbe's thesis (http://www.theses.fr/s148364).
• Manipulate contracts data coming from your ERP and turn it into timeseries you can use for analysis, visualisation and machine learning.
• Timeseries-specific detection of missing data, like time gaps and frequency changes.
• Date-time feature engineering robust to timezone hazards.

Where to get it

The source code is currently hosted on GitHub at: https://github.com/enercoop/enda

Binary installers for the latest released version are available at the Python Package Index (PyPI) and on Conda.

# PyPI
pip install enda

# or conda
conda install enda

How to get started ?

Check out the guides : https://github.com/enercoop/enda/tree/main/guides .

Dependencies

• Pandas - the main dataframe manipulation tool for python, advanced timeseries management included.
• H2O - an efficient machine learning framework.

License

MIT