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This record contains all the scripts and data from the PyPSA-PL modelling exercise that supported the report: Kubiczek P. (2023). Praca w podstawie. Modelowanie kosztów niskiej elastyczności polskiego systemu elektroenergetycznego. Instrat Policy Paper 04/2023. https://www.instrat.pl/praca-w-podstawie The record structure is based on the PyPSA-PL repository https://github.com/instrat-pl/pypsa-pl (v2.0 with changes).
python, power system model, energy system model
python, power system model, energy system model
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 12 | |
| downloads | 1 |

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