In recent years, the supply of electric vehicles, which are eco-friendly cars that use energy rather than fossil fuels, cause air pollution, is increasing. Accordingly, it emerging as an urgent task to predict charging demand for smooth required charge vehicle batteries. this paper, demand, time series analysis performed based on two types frames: One using traditional techniques such dynamic h...

As the number of urban electric vehicles continues to increase, accurate prediction vehicle (EV) spatial and temporal distribution charging demand is great importance for safely operating power grid. Due uncertainty variability EV user discharging strategies, strategic factors behind behavior become key influencing whether results are reasonable. a result, this paper proposes model based on rea...

This paper proposes a methodology for practical siting and sizing of Hybrid energy systems (HESs) consist of: wind turbine (WT), photovoltaic (PV) and combined heat and power (CHP) units. In this method, the interaction of Plug-in Electric Vehicles (PIEVs) in the electric distribution system is considered. Electric Vehicle are seen to have some negative impacts on electric distribution system p...

Characterization and evaluation of a biological submerged filter was carried out on a full-scale pilot plant performing removal of biochemical oxygen demand (BOD) and total nitrogen (TN) from pre-treated urban wastewater. The average influent values of BOD5, chemical oxygen demand (COD) and TN were 370, 1,015 and 60 mg/L, respectively. The pilot plant produced good discharge quality during stea...