Wind speed classification using Dirichlet mixtures

As a more in-depth approach and with the aim of improving the accuracy of the previously obtained results, a forecast methodology including a multi-resolution analysis, based

With the kernel ridge regression method, statistical parameters such as the mean can be estimated for one operating condition using points obtained with different operating

In this paper a self-tuning fractional PI Ȝ D ȝ controller is proposed as an extension of a design method in [8] where the five parameters of the fractional PI Ȝ D ȝ controller

In the above rated region, the pitch angle and the electromagnetic torque are the control variables that are used to reduce the structural loads and to maintain the

Two examples of snapshots of absolute momentum fluxes (colors, logarithmic scale) and wind speed (thick gray lines for isotachs 20 and 40 m s −1 , thick black line for 60 m s −1 ) at

It has also been shown that collision detection algorithms can be run on embedded GPUs in connected perception units, and that perception between intelligent

This study shows that the geometrical thickness of clouds has a greater influence than the optical depth on the mean RHice determined over standard pressure layers from AIRS,

Therefore, if the wind speed and pressure are considered as continuous stochastic processes observed during a time interval (t, T ), these bar histograms estimate a