Second Order Cone
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
Research direction
No files, tests, or entry points are named. Start by reviewing linopy's current linear-optimization scope and the solver support mentioned in the issue; done would require an agreed plan defining whether and how SOCP and quadratic modelling should be supported.
Written by the indexing model from the issue text.
Description
Hello,
I'm opening this issue to raise attention on SOCP and quadratic modelling that may be highly interesting for some energy system applications, and I'm wondering if they have been considered for linopy as potential upgrades.
SOCP and QP are clearly non linear, so they may not suite the purpose of the package but may be highly valuable for power systems.
Moreover, many solvers now support those techniques, so I was wondering if there is any plan to support those techniques
- Dominant language
- Python
- Stars
- 257
- Forks
- 87
- Avg merge
- 1d 15h
- Merged PRs (30d)
- 32
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
More from PyPSA/linopy
-
bug solver interface
Difficulty 2/5 1-3 hours Newbie friendliness 84/100
-
documentation sparse
Difficulty 3/5 1-2 days Newbie friendliness 68/100
-
enhancement sparse
Difficulty 4/5 3-5 days Newbie friendliness 48/100
-
Make the sparse path observable and controllable (.is_sparse, densify warning, per-call sparse=) Openenhancement sparse
Difficulty 5/5 Over a week Newbie friendliness 35/100
-
enhancement performance sparse
Difficulty 4/5 3-5 days Newbie friendliness 68/100
Similar issues
-
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
anthropics/skills#1811 · 1 comment ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
speaches-ai/speaches#678 ·
-
bug
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
datalayer/mcp-compose#42 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
conda-forge/spacy-feedstock#177 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 70/100
UKGovernmentBEIS/inspect_evals#2523 ·