Results 71 to 80 of about 303 (161)

Fast uncertainty quantification for dynamic flux balance analysis using non-smooth polynomial chaos expansions.

PLoS Computational Biology, 2019
We present a novel surrogate modeling method that can be used to accelerate the solution of uncertainty quantification (UQ) problems arising in nonlinear and non-smooth models of biological systems.
Joel A Paulson, Marc Martin-Casas, Ali Mesbah   +2 more
doaj   +1 more source

Efficient Adaptive Robust Aerodynamic Design Optimization Considering Uncertain Inflow Variations for a Diffusion Airfoil Across All Operating Incidences

Aerospace
The random fluctuations in inlet flow represent a common uncertainty in aero-engine compressors, necessitating the control of its effects through blade optimization design.
Zhengtao Guo, Lei Bao, Chaolong Li, Xianzhong Gao, Wuli Chu   +4 more
doaj   +1 more source

Conformal prediction for full and sparse polynomial chaos expansions

Polynomial Chaos Expansions (PCEs) are widely recognized for their efficient computational performance in surrogate modeling. Yet, a robust framework to quantify local model errors is still lacking. While the local uncertainty of PCE prediction can be captured using bootstrap resampling, other methods offering more rigorous statistical guarantees are ...
Hatstatt, A., Zhu, X., Sudret, B.
openaire   +2 more sources

Optimization of the mooring system of a floating wind turbine by developing a surrogate model-assisted evolutionary framework

Applied Ocean Research
In the design and optimization of Floating Wind Turbines (FWTs), there are challenges related to the large number of design parameters and the need for efficient and accurate calculation of turbine dynamic responses.
Ye An, Zhisheng Xia, Min Luo, Jian Zhang, Ronghua Zhu   +4 more
doaj   +1 more source

Efficient Probabilistic Evaluation and Sensitivity Analysis of Load Supply Capability for Renewable-Energy-Based Power Systems

Applied Sciences
In renewable energy generation, uncertainties mainly refer to power output fluctuations caused by the intermittency, variability, and forecasting errors of wind and photovoltaic power.
Jie Zhang, Kaixiang Fu, Weizhi Huang, Yilin Zhang, Qing Sun, Yuan Chi, Junjie Tang   +6 more
doaj   +1 more source

Publication Only

HemaSphere, Volume 10, Issue S1, June 2026.
wiley   +1 more source

A Reproducible and Correlation-Aware Polynomial Chaos Framework for Probabilistic AC Power Flow in Renewable-Rich Distribution Networks

Energies
High renewable penetration introduces stochastic variability in distribution-network operation, requiring probabilistic AC power-flow tools that remain accurate in the tails while avoiding the computational burden of large Monte Carlo simulation.
Julio Guerra, Gustavo Recalde, Jean Gavilanez, Dirley Cuenca   +3 more
doaj   +1 more source

Energy management in a grid-connected microgrid using hybrid Golden Jackal optimization and gradient descent optimization and the concept of loadability

e-Prime: Advances in Electrical Engineering, Electronics and Energy
Golden Jackal optimization (GJO) maintains diversity and can simultaneously explore multiple regions of the search space since it operates on a population of solutions. However, the GJO has the demerit of deprived exploitation capability and it struck in
Sunil Kumar, Ikbal Ali, Anwar Shahzad Siddiqui   +2 more
doaj   +1 more source

Development in Surrogate-Based Polynomial Chaos with Adaptive Sobol Sensitivity Analysis for Uncertainty Quantification and Offshore 15 MW Wind Turbine Performance Prediction: Comparative, Icing, and Wind Farm Optimization Studies

Wind
Accurate performance prediction for large offshore wind turbines requires a principled treatment of uncertainty in both the wind resource and the rotor design parameters.
Mohamed Haris Baghli, Tewfik Baghdadli, Zakarya Ziani   +2 more
doaj   +1 more source

Uncertainty propagation in pore water chemical composition calculation using surrogate models. [PDF]

Sci Rep, 2022
Sochala P, Chiaberge C, Claret F, Tournassat C.   +3 more
europepmc   +1 more source