This paper proposes a new method for online estimation of the induction generator parameters by means of adaptive neuro-fuzzy inference systems (ANFIS). The suggested technique can be applied to induction generators that are used in wind energy conversion systems (WECS). The WECS structure comprises a wind turbine, a three-phase induction generator and two back-to-back power converters. The WEC...

Ocean wind and wave parameters can be measured by in-situ sensors such as anemometers and buoys. Since the 1980s, X-band marine radar has evolved as one of the remote sensing instruments for such purposes since its sea surface images contain considerable wind and wave information. The maturity and accuracy of X-band marine radar wind and wave measurements have already enabled relevant commercia...

Using full general relativistic calculations, we investigate the possibility of generation of mass outflow from spherical accretion onto non-rotating black holes. Introducing a relativistic hadronic-pressure-supported steady, standing, spherically-symmetric shock surface around a Schwarzschild black hole as the effective physical barrier that may be responsible for the generation of spherical w...

This paper describes a new method for harvesting maximum electrical energy in wind farms. In proposing technique, the stochastic process principles are applied for detecting fault measurements of sensors. On the other hand, the wind farm is modeled by using fuzzy concept. Thereby the turbines are controlled against continuous changes in speed, direction and eddy currents of the blowing wind. To...

abstract the present study is attempted to present the minimum required meteorological parameters for reference evapotranspiration estimation at hamedan region of iran from 1997 to 1998. employing pierson test, six meteorological parameters which are used by penman-montieth fao-56 method including maximum and minimum air temperature, maximum and minimum relative humidity, wind speed and daily s...

Measured air temperature, relative humidity, wind and sunshine duration measurements between 1995 and 2007 for Al Ain city in United Arab Emirates (UAE) were used for the estimation of monthly average daily global radiation on horizontal using Artificial Neural Network technique. Weather data between 1995 and 2006 were used for training the neural network, while the data of year 2007 was used f...

This paper is an attempt to assess the potential and usefulness of ANN based modeling for evaporation prediction from a reservoir, where in classical and empirical equations failed to predict the evaporation accurately. The meteorological data set of daily pan evaporation, temperature, solar radiation, relative humidity, wind speed is used in this study. The performance of feed forward back pro...