Sentence examples for samples of wind from inspiring English sources

The samples of wind power are discrete.

Firstly, principal component analysis (PCA) [11] combined with a hierarchal clustering algorithm [12] is adopted to obtain the typical time-sequential samples of wind power output.

In general, the audio and audio-visual samples of wind turbines were assessed similarly to the transportation samples, but not to the natural-like samples.

As an example to demonstrate the lidar's capabilities, we present samples of wind data gathered over an 18 h period in March 2003, illustrating the development of gusts that appears to be associated with the onset of solar ground heating.

By a principal component feature extraction technology [11] and a hierarchical clustering algorithm [12], it shows that the representative samples of wind power from historical time series, and then the UGF equivalent of wind farms is expressed as time variant according to the patterns after clustering.

In response to some clones including a variety of vintage keyboards in a single package, Hammond released the SK series of organs, which include grand piano, Rhodes piano, Wurlitzer electronic piano, Hohner Clavinet and samples of wind and brass instruments alongside the standard drawbar and tonewheel emulation.

Further representative sampling of wind energy facilities is required to validate this pattern.

Wind Range Scenarios (WRS) constrain the sampling of wind conditions within pre defined radial sector around the volcano.

In the sampling of wind farm, the related wind output is determined by the position of x in the probability range.

Derivations of these two scenarios are implemented in TephraProb in order to allow additional subjective choices to the stochastic sampling (Table 1): Wind Range Scenarios (WRS) constrain the sampling of wind conditions within pre defined radial sector around the volcano.

Incorporation of characteristic profiles does not compromise the accuracy of the estimation because the zero wind power generation states are captured through random state sampling of wind units (as it does in conventional unit outage modeling) and other generation states are modeled through characteristic profiles.