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Parameter Sets #14

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bennerh opened this issue Apr 24, 2024 · 1 comment
Open

Parameter Sets #14

bennerh opened this issue Apr 24, 2024 · 1 comment

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@bennerh
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bennerh commented Apr 24, 2024

Dear @mkhraijah

thanks a lot for providing this package!

I read the corresponding paper and wanted to compare the results from table 1 on my machine to an algorithm that I implemented by myself. However, as with most distributed algorithms, the performance is highly depending on the hyper parameters. In the paper you described that you had a routine to tune the best parameter sets. Therefore I wanted to ask whether you would mind to share these optimal parameter sets for each grid and algorithm after running through this routine for the model type ACRPowerFlow.

Thanks a lot in advance!

@mkhraijah
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mkhraijah commented Apr 30, 2024

Hi @bennerh

Sure! Please see below the link for the tuning that I used. It has two files: a main file that runs the test cases from PGLib, and a fine contains the tuning function. It has been a long time since I ran the code, but it should work.

comparison.zip

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