SwolfPy is a free, multi-platform, Python-based, open-source, SWM LCA optimization framework with built-in parametric and Monte Carlo sensitivity and uncertainty analysis capabilities.
-
Updated
Mar 4, 2024 - Python
SwolfPy is a free, multi-platform, Python-based, open-source, SWM LCA optimization framework with built-in parametric and Monte Carlo sensitivity and uncertainty analysis capabilities.
Benopt-Heat: An economic optimization model to identify robust bioenergy technologies for the German heat transition. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711022000334
Add a description, image, and links to the uncertainty-assessment topic page so that developers can more easily learn about it.
To associate your repository with the uncertainty-assessment topic, visit your repo's landing page and select "manage topics."