There is a lot of energy modelling jargon missing

[areleu]

Description of the issue

This is a rather large project and it is about including concepts from Modelling in the ontology. I am not 100% sure if they even belong but we can discuss that. Here is an initial list of terms missing:

Terms describing and defining Modelling methods

• Linear Program /Linear Programming
• Mixed Integer Program / Mixed Integer Programming
• Deterministic
• Stochastic
• Granularity
• Miopic
• Perfect Foresight
• Rolling Horizon
• Path Optimization
• Modelling to Generate Alternatives
• Unit commitment
• Discrete expansion
• Pareto optimization
• ... Probably many more

Most of these concepts can be associated to some kind of canonical mathematical form. The general question is if we can use the Ontology to describe these mathematical concepts or if we need a complementary ontology.

Ideas of solution

Develop a paper around this -> Help wanted.
The general output is a descriptive model that allows describing math with the expresivity of the OEO. Follow-up paper of my submission to FOIS 2023.

Workflow checklist

• I discussed the issue with someone else than me before working on a solution
• I already read the latest version of the workflow for this repository
• The goal of this ontology is clear to me

I am aware that

• every entry in the ontology should have a definition
• classes should arise from concepts rather than from words

[l-emele]

At least we already have deterministic and stochastic. However, these are currently classified as uncertainty approach which itself is a model descriptor. (Related to #1886)