[X] Browse the tutorials and tests for usefull code snippets and examples of use
Issue
I know that pandadpower have simbench. But, matpower has a compatibility with pglib. I've port of it that can be easily used with matpower-pip and matpowercaseframes in [PyPGLib] (https://github.com/yasirroni/PyPGLib).
My question is, is there any existing bencmark between matpower and pandapower with data that is compatible for both solver? And how to run the benchmark if there exist? I've looked at https://github.com/e2nIEE/pandapower-paper and https://github.com/e2nIEE/simbench, but can't find how to run and reproduce pandapower paper results comparison (using same data if mandatory).
Feature Checklist
[X] Searched the issues page for similar reports
[X] Read the relevant sections of the documentation
[X] Browse the tutorials and tests for usefull code snippets and examples of use
Issue
I know that pandadpower have simbench. But, matpower has a compatibility with pglib. I've port of it that can be easily used with matpower-pip and matpowercaseframes in [PyPGLib] (https://github.com/yasirroni/PyPGLib).
My question is, is there any existing bencmark between matpower and pandapower with data that is compatible for both solver? And how to run the benchmark if there exist? I've looked at https://github.com/e2nIEE/pandapower-paper and https://github.com/e2nIEE/simbench, but can't find how to run and reproduce pandapower paper results comparison (using same data if mandatory).
Thanks.
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