Max Parzen
@all , feel free to contribute a model. This task is open for everyone :)
> @pz-max @FabianHofmann elastic demand can be modeled in one-step optimization. For that one needs (i) to rewrite objective to social welfare optimization and (ii) represent price via affine term...
> Is there literature on the estimation of that elasticity already? Igor mentioned that he inferred the demand elasticity from existing market signals (e.g. hourly market prices of several years)....
Hi Tomke, I think the non-linear powerflow in DC grids requires a new addition in `pypsa/standard_types/line_types.csv`. @ekatef , made it work in [PyPSA-Earth](https://github.com/pypsa-meets-earth/pypsa-earth/pull/392/files) by adapting PyPSA in a fork: https://github.com/PyPSA/PyPSA/compare/master...ekatef:PyPSA:master...
Just stumbled over a feature request that aims to fix it in PyPSA : https://github.com/PyPSA/PyPSA/issues/40
@Rock910, creating new cutouts usually needs some extra attention. Did this [Sarah](https://atlite.readthedocs.io/en/latest/examples/create_cutout_SARAH.html) example work for you? I can also recommend testing the ERA5 cutout if you haven't tried yet.
@LukasFrankenQ is the dataset behind that also globally available? What's missing in this PR as it is still in draft mode?
The Timestamp helped. Though, I had to make it time zone aware. Otherwhise you get the error: **TypeError: Cannot compare tz-naive and tz-aware timestamps"** The solution on my side: `(row["created_at"]...
@metab0t We would be keen to explore possibilities. Would you be free for a 30-minute exchange with @FabianHofmann (linopy maintainer) and me? If yes, could you ping me per email:...
Summary of exchange: - POI has a very interesting design philosophy using C-APIs and schemas :1st_place_medal: - Constructing the Linopy model is fast, translating it to Gurobi via gurobipy is...