Closed lappemic closed 2 months ago
@lappemic Looks great! An important note: The names of the subcategories should be separable from the other subcategories even without knowing the category. Otherwise it will look weird in plots later on. So I would suggest 'Energy Data Accessibility and Integration' as an alternative to 'Data Accessibility and Integration'.
I have just tried to cluster the energy models using ChatGPT. The results are not very good. I see two reasons for this:
Here sources that show how clustering of projects could work:
1. Bottom-up optimisation: MARKAL, TIMES, Calliope, DNE21+ Bottom-up accounting: LEAP, Green-X Top-down Simulation-based: DTI energy model Hybrid models: POLES, IEA-WEM, PROMETHEUS Partial equilibrium: GCAM, TIAM-ECN, AIM-Enduse Hybrid-market equilibrium: PRIMES, NEMS Electricity models: OSEMOSYS, WASP Source: https://prod5.assets-cdn.io/event/6546/assets/8364062855-e70bebb6a8.pdf
2. This is probably the best source as it is a community effort: https://wiki.openmod-initiative.org/wiki/Open_Models
3. Asking ChatGPT "How can energy models be classified? " also gives some interesting feedback.
I honestly encountered the same issue as you. This is why i started with Energy System Data Access
. 😄
To your sources:
This leads me to the conclusion that there is somehow not a proper classification...
EDIT: But just also found the wikipage of Energy Modelling which mentions more or less the categories in source 1. So my proposal is to
Or
I lean towards 2. Because it seems like lots of work and lots of confusion potential in here. WDYT?
I agree with you. We need an expert in this field to classify it. Similar to climate models, there is simply no globally accepted taxonomy that can be applied to all projects. But maybe we can change the title to just Energy System Modeling.
This PR addresses the reclustering of the broad category
Energy Systems
as disussed with @Ly0n. This is a WIP an will further be refined and asked for review. Leaving it here for transparency and inputs on the process.Approach is the same as mentioned in #695: Chatgpt provided the clustering idea and then assign the projects by hand to the new categories.
Categories to be refined:
I will update the progress here and ask for proper review once i finished from my side the first iteration.