In recent years, artificial neural networks (ANNs) have been used for forecasting in time series in the literature. Although it is possible tomodel both linear and nonlinear structures in time series by using ANNs, they are not able to handle both structures equally well. Therefore, the hybrid methodology combining ARIMA and ANN models have been used in the literature. In this study, a new hybr...

The hybrid micro gird is growing due to the potential benefits in providing safe, reliable and sustainable electricity from renewable energy sources. In this paper, we are discussing the multiple energy sources i.e. PV/Fuel cell and wind based hybrid microgrid with help of simulation approach to improve the power quality in microgrid with ANN control. The artificial neural network control is us...

If both Reference Station (RS) and navigational device in Differential Global Positioning System (DGPS) receive signals from the same satellite, RS Position Components Error (RPCE) can be used to compensate for navigational device error. This research used hybrid method for RPCE prediction which was collected by a low-cost GPS receiver. It is a combination of Genetic Algorithm (GA) computing an...

awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. therefore, the present study two hybrid models, wavelet- adaptive neural fuzzy interference system (wanfis) and wavelet- artificial neural network (wann) are used for flow prediction of gamasyab river (nahavand, hamedan, iran...