Smart power grid distribution network is very paramount in building a sustainable Electricity for smart operations. As stipulated and stated the agenda 2030 development goals project (agenda goals; 3, 7, 9, 11, 13), it’s pertinent to create, research develop an enabling environment within horoscope with these agendas view. This helps design of reliable quality system replace traditional network...

this article is a comparative study of estimation power of artificial neural networks and autoregressive time series models in inflation forecasting. using 37 years iran’s inflation data, neural networks performs better on average for short horizons than autoregressive models. this study shows usefulness of early stopping technique in learning stage of neural networks for estimating time series...

in the last decade, many applied common studies were done in economic social systems phenomena by using network analysis. in these studies, trade relations can be considered as a network that each vertex represents a country and the trade relations between countries represent links of this network. first, we try to make the world exporting and importing networks based on the existence data for ...

The significant penetration rate of wind turbines in power systems made some challenges in the operation of the systems such as large-scale power fluctuations induced by wind farms. Gas-fired plants with fast starting ability and high ramping can better handle natural uncertainties of wind power compared to other traditional plants. Therefore, the integration of electrical and natural gas syste...

Today, the electricity power system is the most complicated engineering system has ever been made. The integrated power generating stations with power transmission lines has created a network, called complex power network. The reliability estimation of such complex power networks is a very challenging problem, as one cannot find any immediate solution methods in current literature. In this pape...