Nonparametric importance sampling for wind turbine reliability analysis with stochastic computer models-Reference-Cited by-同舟云学术

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Nonparametric importance sampling for wind turbine reliability analysis with stochastic computer models

Published:2021-12-01 Issue:4 Volume:15 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Li Shuoran¹,Ko Young Myoung²,Byon Eunshin³

Affiliation:

1. Department of Statistics, University of Pittsburgh

2. Department of Industrial and Management Engineering, Pohang University of Science and Technology

3. Department of Industrial and Operations Engineering, University of Michigan

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robust Importance Sampling for Stochastic Simulations with Uncertain Parametric Input Model;2023 Winter Simulation Conference (WSC);2023-12-10

2. Wake effect parameter calibration with large-scale field operational data using stochastic optimization;Applied Energy;2023-10

3. Stability and Reliability Analysis for Multiple WT Using Deep Reinforcement Learning;Electric Power Components and Systems;2023-06-20

4. A dynamic probabilistic analysis method for wind turbine rotor based on the surrogate model;Journal of Renewable and Sustainable Energy;2023-01-01

5. Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling;The Annals of Applied Statistics;2022-09-01

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