2021
DOI: 10.1016/j.cma.2021.114009
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A generalized sensitivity analysis method based on variance and covariance decomposition of summatory functions for multi-input multi-output systems

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Cited by 9 publications
(1 citation statement)
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“…Some of the strategies recommended in this study to improve the utilization of renewable energy include improvements in the political and legal structure surrounding their use and regulation, tax incentives or exemptions for private power producers to encourage a shift away from conventional energy production, and partnerships with non-governmental and international organizations that can provide these services. Besides the DEA methodologies, assessment approaches for multi-input multi-output systems are ample in various research areas including the renewable energy sector: life cycle assessment (LCA) methodology of mixed municipal solid waste [17], multi-objective optimization, and chaotic time series based on optimal multi-input multi-output architecture for an offshore wind speed application [18], interval forecasting system for uncertainty modeling based on multi-input multi-output theory in a case study on modern wind stations [19], and global sensitivity analysis method based on variance and covariance decomposition of summatory functions for multi-input multi-output systems [20].…”
Section: Introductionmentioning
confidence: 99%
“…Some of the strategies recommended in this study to improve the utilization of renewable energy include improvements in the political and legal structure surrounding their use and regulation, tax incentives or exemptions for private power producers to encourage a shift away from conventional energy production, and partnerships with non-governmental and international organizations that can provide these services. Besides the DEA methodologies, assessment approaches for multi-input multi-output systems are ample in various research areas including the renewable energy sector: life cycle assessment (LCA) methodology of mixed municipal solid waste [17], multi-objective optimization, and chaotic time series based on optimal multi-input multi-output architecture for an offshore wind speed application [18], interval forecasting system for uncertainty modeling based on multi-input multi-output theory in a case study on modern wind stations [19], and global sensitivity analysis method based on variance and covariance decomposition of summatory functions for multi-input multi-output systems [20].…”
Section: Introductionmentioning
confidence: 99%