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| Line 17: |
Line 17: |
| | |data_availability=some | | |data_availability=some |
| | |open_future=No | | |open_future=No |
| − | |modelling_software=Python, NumPy, Pandas | + | |modelling_software=Python |
| | + | |processing_software=NumPy, Pandas |
| | |GUI=No | | |GUI=No |
| | |sectors=Electricity | | |sectors=Electricity |
Latest revision as of 15:51, 24 January 2022
| Model Scope |
Model type and solution approach |
| Model class
|
|
| Sectors
|
Electricity
|
| Technologies
|
Renewables
|
| Decisions
|
|
| Regions
|
|
| Geographic Resolution
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|
| Time resolution
|
|
| Network coverage
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|
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| Model type
|
Simulation
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|
|
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| Variables
|
|
| Computation time
|
minutes
|
| Objective
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|
| Uncertainty modeling
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|
| Suited for many scenarios / monte-carlo
|
No
|
|
References
Scientific references
William F. Holmgren, Clifford W. Hansen, and Mark A. Mikofski. “pvlib python: a python package for modeling solar energy systems.” Journal of Open Source Software, 3(29), 884, (2018). https://doi.org/10.21105/joss.00884
https://dx.doi.org/https://doi.org/10.21105/joss.00884
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