A novel intelligent neural optimizer with two objective functions is designed for electrical distribution systems. The presented method is faster than alternative optimization methods and is comparable with the most powerful and precise ones. This optimizer is much smaller than similar neural systems. In this work, two intelligent estimators are designed, a load flow program is coded, and a spe...

We consider the partial hedging of stochastic electricity load pattern with static forward strategies. We assume that the company under consideration maximizes the risk adjusted expected value of its electricity cash flows. First, we calculate an optimal hedge ratio and after that we use this hedge ratio to solve the optimal hedging time. Our results indicate, for instance that agents with high...

Short term electricity load forecasting is a well-known problem, and many neural computing approaches for solving it have been proposed in recent years. In this paper, we argue in favour of its decomposition into two subproblems, and propose a solution for one of them: the prediction, en bloc, of the daily load profile, or configuration, for the different hours of a particular future date. From...

Nowadays generation capacity in traditional grid depends on fossil fuels and contributes significantly to the increase of pollution emission. In deregulated grids in addition to using demand response programs (DRPs) to reducing the cost of electricity production, peak clipping and improve reliability use of green Plants such as hydro plant, wind plant become widespread. In a smart grid, end use...

Like other structures, shallow domes have imperfections from the prescribed values obtained by specifications during the construction process. Specifications define some tolerance values for imperfections. Despite consideration of these values, the critical load of a dome varies for each imperfection pattern. So the reliability plays an important role in domes safety. Theoretical evaluation pro...

An axisymmetric hot closed die-forging process has been studied by physical modeling technique using the plasticine. To observe the material flow pattern, layers of plasticine with different colors were used. The normal direction to the layers was considered a principal direction. The strain distribution was obtained by measuring the thickness of the plasticine layers. Based on the strain distr...

In present study, the effects of optimization on seismic energy spectra including input energy, damping energy and yielding hysteretic energy are parametrically discussed. To this end, 12 generic steel moment-resisting frames having fundamental periods ranging from 0.3 to 3s are optimized by using uniform damage and deformation approaches subjected to a series of 40 non-pule strong ground motio...

nowadays generation capacity in traditional grid depends on fossil fuels and contributes significantly to the increase of pollution emission. in deregulated grids in addition to using demand response programs (drps) to reducing the cost of electricity production, peak clipping and improve reliability use of green plants such as hydro plant, wind plant become widespread. in a smart grid, end use...

A practical application of the spherical involute surface to the forged straight bevel gears is provided and demonstrated in this work. Conjugate (pure involute) theoretical surfaces are developed from the input design parameters. The surfaces are modified to suit the actual application (automotive differential). The unloaded (or low load) tooth contact analysis of modified surfaces is performe...