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tstran155 /Optimization-of-building-energy-consumption

Star23

This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo package, (3) Genetic algorithm with local search, and (4) Pymoo package to find optimum design parameters and minimum energy consumption.

machine-learning-algorithms cross-validation multi-objective-optimization pyomo deterministic bayesian-optimization hvac nonlinear-optimization nsga-ii multivariate-regression stochastic-optimization ipopt probabilistic-inference genetic-optimization-algorithm latin-hypercube-sampling building-energy xgboost-regression sobol-indices gurobi-solver pymoo

UpdatedMar 15, 2023
Jupyter Notebook

JBris /model-calibration-evaluation

Star11

Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference

deep-learning pymc global-optimization sensitivity-analysis bayesian-optimization bayesian-statistics kriging uncertainty-analysis approximate-bayesian-computation polynomial-chaos-expansion surrogate-models generative-neural-network optuna likelihood-free-inference simulation-based-inference sobol-indices shuffled-complex-evolution differential-evolution-mcmc polynomial-chaos bolfi

UpdatedMar 18, 2025
Python

americocunhajr /SoBioS

Star6

SoBioS is an easy-to-run Matlab code to compute Sobol' indices for biological systems.

bioinformatics computational-biology dynamical-systems nonlinear-dynamics sensitivity-analysis global-sensitivity-analysis ufrj uerj biomathematics sobol-indices

UpdatedJul 18, 2024
MATLAB

ddrous /covid-19-sird

Star5

Study of the COVID-19 epidemic in Cameroon using a SIRD model with population birth and death rates.

statistics least-squares openturns parameter-estimation cameroon taylor-expansion covid-19 sobol-indices sird-model gaussian-calibration

UpdatedMar 29, 2021
Jupyter Notebook

estevaofuzaro98 /inSANE-HAPEX

Star4

This suite is an ensemble of codes developed to conduct a global sensitivity analysis on an multimodal energy harvesting system with periodic excitation.

sensitivity-analysis polynomial-chaos-expansion sobol-indices energy-harvesting-systems

UpdatedMay 25, 2022
MATLAB

bazvalya /GSA_using_GDMaps_PCE

Star3

A source code for the paper titled "Global Sensitivity Analysis using Polynomial Chaos Expansion on the Grassmann Manifold".

agent-based-modeling manifold-learning global-sensitivity-analysis polynomial-chaos-expansion grassmann-manifold sobol-indices

UpdatedSep 12, 2023
Jupyter Notebook

ikroeker /aMR-PC

Star2

Basis package for arbitrary multi-resolution polynomial chaos

pce apc gsa sobol-indices amr-pc arbitrary-polynomial-chaos arbitrary-multi-resolution-polynomial-chaos

UpdatedSep 24, 2024
Python

gbhattacharjee /sobol

Star2

This repository includes all files (both scripts and results) necessary to reproduce the figures in the paper 'Using global variance-based sensitivity analysis to prioritise bridge retrofits in a regional road network subject to seismic hazard' by G. Bhattacharjee and J. W. Baker, forthcoming in Structure and Infrastructure Engineering (2021). M…

risk-analysis infrastructure-management road-network sensitivity-analysis traffic-simulation sobol-indices bridge-retrofit