Results 11 to 20 of about 913,957 (308)
Global Sensitivity Analysis and Wasserstein Spaces [PDF]
SIAM/ASA Journal on Uncertainty Quantification, 2021 Sensitivity indices are commonly used to quantity the relative inuence of any specic group of input variables on the output of a computer code. In this paper, we focus both on computer codes the output of which is a cumulative distribution function and on stochastic computer codes.
Fort, Jean-Claude +2 more
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Energies, 2021 Power systems are increasingly affected by various sources of uncertainty at all levels. The investigation of their effects thus becomes a critical challenge for their design and operation.
Mirko Ginocchi +2 more
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Global sensitivity analysis for Building-Stock Energy Models: Application of three global approaches [PDF]
E3S Web of Conferences, 2022 Buildings-Stock Energy Models (BSEMs) recently gained vast momentum in battling the climate emergency. They allow for quick evaluation of competing policy solutions for determining effective energy reduction recommendations in the building sector.
Van Hove Matthias Y.C. +2 more
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Global sensitivity analysis of COVID-19 mathematical model
Alexandria Engineering Journal, 2021 In this paper, we applied the Sobol’s method on an already existing mathematical model of coronavirus disease 2019 (covid-19). The objectives of this research work are to study the individual effects of involved parameters as well as combine (mutual ...
Zizhen Zhang, Raheem Gul, Anwar Zeb
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A Surrogate Model for Rapidly Assessing the Size of a Wildfire over Time
Fire, 2021 Rapid estimates of the risk from potential wildfires are necessary for operational management and mitigation efforts. Computational models can provide risk metrics, but are typically deterministic and may neglect uncertainties inherent in factors driving
Ujjwal KC +3 more
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Energies, 2023 In the process of parameter identification, sensitivity analysis is mainly used to determine key parameters with high sensitivity in the model. Sensitivity analysis methods include local sensitivity analysis (LSA) and global sensitivity analysis (GSA ...
Chuan Qin +4 more
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Towards parameter estimation in global hydrological models
Environmental Research Letters, 2023 Global hydrological models (GHMs) supply key information for stakeholders and policymakers simulating past, present and future water cycles. Inaccuracy in GHM simulations, i.e.
Jenny Kupzig +4 more
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Intelligent Global Sensitivity Analysis Based on Deep Learning
Shanghai Jiaotong Daxue xuebao, 2022 This paper proposes an end-to-end method that combines deep learning and sensitivity analysis, which can perform gradient back propagation calculation sensitivity on the saved weight information while training the model.
WU Shuchen, QI Zongfeng, LI Jianxun
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Simplified Identification Strategy of Load Model Based on Global Sensitivity Analysis
IEEE Access, 2020 Load modeling plays an important role in accessing and enhancing the dynamic stability of power systems. Though the Synthesis Load Model Considering Voltage Regulation of Distribution Network ( $\pi $ model) has high accuracy, its parameters are too ...
Xin Tian +5 more
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Global sensitivity analysis for offshore wind cost modelling
Wind Energy, 2021 The costs of offshore wind are decreasing rapidly. However, there is a need to better understand the key drivers behind these cost reductions. New environmental regulations, economic policies, technological advancements and financing structures have ...
Esteve Borràs Mora +2 more
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