uvadmist / swmm_mpc Goto Github PK

update readme to include information about config file and bayesian optimization

Hi :

I can run your codes but I didn't get any results. Have you ever encounter this problem?

make swmm_mpc into pip compliant package including setup script

In your SWMM_MPC model, how did you get the depth or flow time-series data after simulation? Thanks

Hi！
I'm trying to run your sample code. But I have some problems and want to communicate with you.

First, in SWMM_ MPC module
line118 pyswmm.lib.use('libswmm5_ hs.so')

The error is,
AttributeError: module 'pyswmm' has no attribute 'lib'

Second, in SWMM_ MPC module
line140 sim.save_ hotstart(dt_ hs_ path)

The error is,
AttributeError: 'Simulation' object has no attribute 'save_ hotstart'

I can't solve this problem. Can you give me some help?

Hi ,
I am trying to pass IDs for any of the network model elements such as junctions, links, orifices, outfalls etc. in the control_str_ids array, on executing the main code(example code that was given in the repo) , I am getting the following error: 'Start line for string Flooding Loss not found'. How to pass the ids for the SWMM5 Model in the control_str_ids array?Also what values should be passed to Control str ids?

Also can you please share the sample model you used in executing all the codes frameworks?
Thanks!

If you spell "Orifice" incorrectly, you have to go into the .rpt file and see that that is the problem. It would be nice if the Python could check that and elevate that to the python error trace.

I think to be more flexible (including supporting pumps) it would be best to make all the genes (policies) a vector of binaries instead of numbers

I would like to add support for pumps. I believe I will start with having the pumps ON or OFF.

Hello, I run my code with pyswmm, but the runoff of the simulation result is all zero, while when I use SWMM software,I can get right result.

Write unit tests to test the flooding cost functionality and the deviation cost functionality