A library to process ENTSO-E electricity data for use in industrial ecology and life cycle assessment. Developed as part of the BONSAI network.
See the documentation for more.
Living life cycle inventory models can:
- Automatically update themselves
- Provide results on multiple spatial scales
- Provide results on multiple time scales
This particular model is quite simple - we will gather the necessary data from the ENTSO-E API, and return it in the specified RDF format. The model should support the following capabilities:
- Be able to specify what kind of input parameters it accepts
- Validate inputs and return sensible error messages
- Cache data to avoid unncessary ENTSO-E API calls
- Function both as a command-line utility and a normal Python library
Inputs can be a list of countries (default is all countries in ENTSO-E), and a time period (default is a given year - maybe 2018?).
This model should also follow the BONSAI Python library skeleton.