GitHub topics: bayesian-calibration
TheseAdama/DOPEcal
Design of physical experiments for expensive computer code calibration
Language: R - Size: 110 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0
bandframework/surmise
A python package for surrogate models that interface with calibration and other tools
Language: Python - Size: 190 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 13 - Forks: 7
Plant-Food-Research-Open/calisim
A toolbox for the calibration and evaluation of simulation models.
Language: Python - Size: 7.32 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 14 - Forks: 2
TheseAdama/DOEoptimizer
DOEoptimizer is a package that implements four optimization algorithms specifically designed for optimizing design of physical experiments criteria (a matrix input function).
Language: R - Size: 43.9 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
jds485/RHESSys_ParamSA-Cal-GIOpt
Morris global sensitivity analysis, Bayesian DREAMzs calibration, and multi-objective optimization of green infrastructure using the RHESSys ecohydrological model.
Language: R - Size: 2.72 MB - Last synced at: 23 days ago - Pushed at: 12 months ago - Stars: 5 - Forks: 2
NREL/PINNSTRIPES
Physics-Informed Neural Network SurrogaTe for Rapidly Identifying Parameters in Energy Systems
Language: Python - Size: 2.07 MB - Last synced at: 6 months ago - Pushed at: 9 months ago - Stars: 25 - Forks: 10
hongyuanjia/epluspar
Conduct parametric analysis on EnergyPlus models in R
Language: R - Size: 694 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 0
ideas-lab-nus/eplusr-paper
Data and code for Jia and Chong (2020): Hongyuan Jia and Adrian Chong (2020). eplusr: A framework for integrating building energy simulation and data-driven analytics. (Accepted in Energy and Buildings).
Size: 35.9 MB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 3
