Smart grids are complex systems for which simulation offers a practical way to evaluate and compare multiple solutions before deployment. However, the of Grid requires development heterogeneous models corresponding electrical, information processing, telecommunication behaviors. These must be linked analyzed together in order detect influences on one another identify emerging We apply model-dri...

A method for the removal of ionospheric effects from single-frequency non-GPS radio navigation data through the use of data collected from a single collocated dualfrequency GPS receiver is presented. The method uses a local ionosphere model to estimate the total electron content (TEC) along any line of sight that differs from the GPS satellite lines of sight. Two novel models are investigated, ...

T he main purpose of this article is to analyze exchange rate behavior based on monetary fundamentals in the context of Iranian economy over the period 1990:2 to 2014:3. To do so, two monetary exchange rate models is investigated, the first by regarding interest rate differential as a monetary variable, and the second one regardless of interest rate differential as a monetary variabl...

| A hardware software cosimulation environment is developed using the backplane approach. This paper de nes the backplane protocol for communication and synchronization between client simulators to seamlessly integrate a new simulator without modi cation. Automatic interface generation facility is also devised for more e ective cosimulation environment. The environment is implemented based on P...

investors use different approaches to select optimal portfolio. so, optimal investment choices according to return can be interpreted in different models. the traditional approach to allocate portfolio selection called a mean - variance explains. another approach is markov chain. markov chain is a random process without memory. this means that the conditional probability distribution of the nex...

In this study we model the daily rainfall occurrence using Markov Chain Analogue Yearmodel (MCAYM) and the intensity or amount of daily rainfall using three different probability distributions; gamma, exponential and mixed exponential distributions. Combining the occurrence and intensity model we obtain Markov Chain Analogue Year gamma model (MCAYGM), Markov Chain Analogue Year exponentia...

  In this paper Semi-Markov models are used to forecast the triple dimensions of next earthquake occurrences. Each earthquake can be investigated in three dimensions including temporal, spatial and magnitude. Semi-Markov models can be used for earthquake forecasting in each arbitrary area and each area can be divided into several zones. In Semi-Markov models each zone can be considered as a sta...