The potential of the Grid computing paradigm has led to the creation of several regional and national Grid environments. These environments are, however, like “Grid islands” with no resource sharing between them. We have presented an architecture to enable internetworking of Grids for resource sharing based on peering arrangements between Grids. This architecture and related mechanisms and poli...

Efficient and economic energy storage, if implemented in the current power infrastructure on a large scale, could bring about some of the greatest changes in the power industry in decades. Additionally, energy storage would improve the reliability and dynamic stability of the power system by providing stable, abundant energy reserves that require little ramp time and are less susceptible to var...

In this paper we establish conditions under which uniqueness of market equilibrium is obtained in a setup where prior to trading of electricity, transmission capacities between different market regions are fixed. In our setup, firms facing fluctuating demand decide on the size and location of production facilities. They make production decisions constrained by the invested capacities, taking in...

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...

estimate of sediment load is required in a wide spectrum of water resources engineering problems. the nonlinear nature of suspended sediment load series necessitates the utilization of nonlinear methods to simulate the suspended sediment load. in this study artificial neural networks (anns) are employed to estimate daily suspended sediment load. two different ann algorithms, multi layer percept...

This paper proposes a multi HLR scheme for location management in PCS network instead of having a single HLR. In conventional architecture we have a single HLR that acts as centralized database to store the user profile along with the MT’s location information. This approach of single HLR suffers from two major disadvantages: bottleneck and call misrouting during the peak load. In multi HLR arc...

using electric vehicles, in addition to decreasing the environmental concerns, can play an important role in decreasing the peak and filling the off-peaks of the daily load characteristics. in other words, in smart grids' infrastructure, the load characteristics can be improved by scheduling the charge and discharge process of electric vehicles. in smart grids, the customers are instantane...

The electricity market has been significantly changing in the last decade. The deployment of smart meters is enabling the logging of huge amounts of data relating to the operations of utilities with the potential of being translated into valuable knowledge on the behaviour of consumers. This work proposes a methodology for predicting the typical daily load profile of electricity usage based on ...

soil compaction can occur as a result of a number of factors. one of the most important factors is soil response to pressures imposed by wheels and soil engaging tools. this research investigated the effect of tyre load and inflation pressure on soil compaction-related factors. these factors include rut width, rut depth, cone index and horizontal force in different layers of soil profile. in th...

The paper presents a new method for the forecast of time series. This method requires no model of the signal process. It is based on an arrangement of the current situation with situations from the past. With the aid of a fuzzy-processing algorithm, the forecast values are determined from this arrangement. The effectivness is shown at an example for electric load forecast of a power distributio...