Uncertainty quantification in deterministic parameterization of single diode model of a silicon solar cell

DOI10.1007/S11081-021-09679-ZzbMath1478.62377OpenAlexW3201102212MaRDI QIDQ2069141

Divya Gupta, Akshit Samadhiya, Kumari Namrata

Publication date: 20 January 2022

Published in: Optimization and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11081-021-09679-z

zbMATH Keywords

probabilistic analysisglobal sensitivity analysisBayesian inferenceparticle swarm optimizationSobol indicesMarkov chain Monte Carlo samplingblack widow optimizationGaussian parametric uncertaintyGaussian process modellingmulti-variable Newton-Raphsonpolynomial chaos representation

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Applications of mathematical programming (90C90) Sequential statistical design (62L05)

Related Items (1)

Optimization methods in inverse problems and applications to science and engineering

Uses Software

• YALMIP

Cites Work

• Gaussian process modelling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria
• Efficient acquisition rules for model-based approximate Bayesian computation
• Correction to: ``Uncertainty analysis of structural response under a random impact
• Dispatch optimization of concentrating solar power with utility-scale photovoltaics
• Estimation of Sobol's sensitivity indices under generalized linear models
• Generalized F-discrepancy-based point selection strategy for dependent random variables in uncertainty quantification of nonlinear structures

This page was built for publication: Uncertainty quantification in deterministic parameterization of single diode model of a silicon solar cell