Integrated applications for solar energy production becomes increasingly important. The electrification of car bodies and building facades are only two prominent examples. In such shading a challenging problem, since the classic serial interconnection cells in terms power output is highly vulnerable to partial shading. this article, we investigate three most common module layouts market (conven...

With a large number of distributed generation connected to the distribution network, total supply capacity network has been improved certain extent. However, due randomness its output, it also brings some challenges reliable operation and restoration power after failure. Based on this, this paper proposes an active reconfiguration strategy with uncertain factors for maximum improvement. Firstly...

Uncertainty quantification in numerical simulations generally relies on applying sampling techniques to select input parameters for a suite of deterministic calculations and then combining the results of the calculations into output distributions. Several approaches, including metamodeling and Latin Hypercube Sampling, are prevalent today. This paper will focus on the comparison of several comm...

This paper provides an updated review of Monte Carlo simulation. The use of random sampling, its consequences in simulation, the use of descriptive sampling, its advantages, its limits and its improvement upon the precision of simulation estimates: Refined descriptive sampling. This state of the art gives also an insight into other sampling procedures used in the literature, like Ranked set sam...

A surrogate-based design optimization with an adaptive sampling technique based on the innovative infill criteria (ISC) is developed, where key issues are mathematically formulated in space and how many sample points infilled to guarantee desirable accuracy at minimal computational cost. The ISC developed study involve multi-objective (MOO) determine infilling separately for exploitation explor...

Latin hypercube designs have been found very useful for designing computer experiments. In recent years, several methods of constructing orthogonal Latin hypercube designs have been proposed in the literature. In this article, we report some more results on Latin hypercube designs, including several new designs.

This work focuses on constructing functional representations of quantities interest (Qols) an uncertain ignition reaction in high dimension. Attention is focused the delay time iso-octane air mixture, using a detailed chemical mechanism with 3811 elementary reactions. Uncertainty all rates directly accounted for associated uncertainty factors, assuming independent log-uniform priors. A Latin hy...

Stochastic linear programs can be solved approximately by drawing a subset of all possible random scenarios and solving the problem based on this subset, an approach known as sample path optimization. The value of the optimal solution to the sampled problem provides an estimate of the true objective function value. This estimator is known to be optimistically biased; the expected optimal object...