Conditioned latin hypercube sampling: Optimal sample size for digital soil mapping of arid rangelands in Utah, USA. In: BOETTINGER, J.L.; HOWELL, D.W.; MOORE, A.C.; HARTEMINK, A.E. & KIENAST-BROWN, S., eds. Digital soil mapping: Bridging research, environmental application and ...
Optimal sampling using Conditioned Latin Hypercube for digital soil mapping: An approach using Bhattacharyya distance 来自 dx.doi.org 喜欢 0 阅读量: 3 作者:A Khan,M Aitkenhead,CR Stark,ME Jorat 摘要: CLH sampling is an effective method for DSM, accounting for environmental covariates.A study on...
Optimal Experiment Design, Latin HypercubeLatin hypercube sampling Latin hypercube design is a way to generate design points that can spread observations evenly over the range of each input variable. For a Latin hypercube design of size n,...doi:10.1007/978-1-4419-9863-7_1233Ying Hung...
Hypercube Sampling. Structure and System Nonprobabilistic Reliability Solution Method Based on Enhanced Optimal Latin Hypercube Sampling.Structure and System Nonprobabilistic Reliability Solution Method Based on Enhanced Optimal Latin Hypercube Sampling.doi:10.1142/S0219455414500345...
This paper compares three methods for solving probabilistic optimal power flow (P-OPF) problem: Zhao's point estimate method (PEM), Quasi Monte Carlo simulation (QMCS) and Latin hypercube sampling (LHS). With Nataf transformation, P-OPF problem is formulated as a multiple integral over standard...
We propose symmetric Latin hypercubes for designs of computer experiment. The goal is to offer a compromise between computing effort and design optimality. The proposed class of designs has some advantages over the regular Latin hypercube design with respect to criteria such as entropy and the minimu...
关键词: large-scale wind power integration reserve capacity optimization Latin hypercube sampling improved niche genetic algorithm 被引量: 3 年份: 2014 收藏 引用 批量引用 报错 分享 全部来源 求助全文 知网 相似文献 参考文献 引证文献Optimal Power Flow With Large-Scale Storage Integration Restructuring ...
For instance, Quasi-Monte Carlo sampling was first used for computing sensitivity indices [13], [14]. The Latin hypercube design is popular for addressing the integral problem due to its one-dimensional projection property, simpleness, and flexibility [15]. However, the major drawback of these...
Furthermore, we carried out the global sensitivity analysis of the most crucial parameter known as the basic reproduction number using the Latin Hypercube Sampling (LHS) and the partial rank correlation coefficient (PRCC) techniques. The proposed model is then reformulated by adding the time-...
In addition, a Latin-hypercube-sampling-based postoptimization procedure is exploited in this paper to evaluate the performance of optimal solutions under different realizations of uncertain net nodal electricity demands. The proposed AR-OTS is implemented on the IEEE 118-bus and IEEE 300-bus test ...