Of the various renewable energy resources, wind power is widely recognized as one of the most promising. The management of wind farms and electricity systems can benefit greatly from the availability of estimates of the probability distribution of wind power generation. However, most research has focused on point forecasting of wind power. In this paper, we develop an approach to producing dens...

Accurate wind speed forecasting is becoming increasingly important to improve and optimize renewable wind power generation. Particularly, reliable short-term wind speed prediction can enable model predictive control of wind turbines and real-time optimization of wind farm operation. However, this task remains challenging due to the strong stochastic nature and dynamic uncertainty of wind speed....

background; brucellosis (malta fever) is a major contagious zoonotic disease, with economic and public health importance. methods; to assess the effect of meteorological (temperature, rainfall, humidity, and wind) and climate parameters on incidence of brucellosis, brucellosis distribution and meteorological zoning maps of zanjan province were prepared using inverse distance weighting (idw) and...

This paper deals with a control-based observer structure used for effective wind speed estimation in a wind turbine operating in partial load. The central idea is that this input estimation can be achieved based on system output tracking using a high-gain control loop. One of the consequences is that the system entire state estimation can also be performed. The resulted observer is simple and e...

We describe work aimed at improving procedures for the estimation of non-tornadc extreme windspeeds, regardlessof their direction, in regions not subjectedto hurricanes. Using the Genemlized Pareto Distribution (GPD) approach and the ConditionalMean Exceedance(CME) estimation method, we analyze 115 17-yearto 52-year sets of largest annual speedsand sets drawn from 48 15-yearto 26year records of...

Very short-term probabilistic forecasts, which are essential for an optimal management of wind generation, ought to account for the nonlinear and double-bounded nature of that stochastic process. They take here the form of discrete-continuous mixtures of generalised logit-Normal distributions and probability masses at the bounds. Both autoregressive and conditional parametric autoregressive mod...

The Thirty Meter Telescope primary mirror is composed of 492 segments that are controlled to high precision in the presence of wind and vibration disturbances, despite the interaction with structural dynamics. The higher bandwidth and larger number of segments compared with the Keck telescopes requires greater attention to modeling to ensure success. We focus here on the development and validat...

In this paper a novel approach, based on a neural network structure, is introduced in order to face with the problem of pollutant estimation in an urban area. A neural architecture, based essentially on suitable number of layers devoted to predict alarm situations and to estimate the value of the pollutant, has been implemented. A new method for short term prediction is presented using the neur...