Deep-Statistical-Solver-for-Distribution-System-State-Estimation

Deep-Statistical-Solver-for-Distribution-System-State-Estimation copied to clipboard

Dear TU Delft AI Energy Lab researchers,

Thanks very much for the amazing paper and code!

I have a question about the parameter to tweak load and generation in data_gen.py line 65, I don't know how to select the parameters to scale the load and gen profiles, and what's the usage of this parameter. Could you please briefly explain about it?

I met another problem with the load sampling section in data_gen.py, after executing the loop of generating the load and gen of 24 h profile, I noticed that the data for the 9-th gen (wind turbine) was a fixed value over the 24 hours.

I think the issue comes from line 314, the code makes all values of the raw 8 to be the same. After change it to load_sgen[i][8] = net.sgen['p_mw'][8] * profile_day_wind[i] *sgen_inc , the gen profile would vary over 24 h.

I'm looking forward to your reply, this means a lot to me, thanks again for the amazing work!