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Majid Vafaeipour   Mr.  Graduate Student or Post Graduate 
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Majid Vafaeipour published an article in November 2014.
Top co-authors
Omid Rahbari

4 shared publications

Young Researchers and Elite Club, South Tehran Branch, Islamic Azad University, Tehran, Iran

Publication Record
Distribution of Articles published per year 
(2012 - 2014)
Total number of journals
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CONFERENCE-ARTICLE 5 Reads 2 Citations Performance of Neural Wavelet and ANFIS Algorithms for Short-Term Prediction of Solar Radiation and Wind Velocities Mohammad Hossein Morshed Varzandeh, Omid Rahbari, Majid Vafa... Published: 03 November 2014
The 4th World Sustainability Forum, doi: 10.3390/wsf-4-e010
DOI See at publisher website ABS Show/hide abstract
Prediction of wind and solar energy is deemed one of the most important contributory factors towards sustainability. Along the same lines, to harvest energy and guarantee the safety of a place, accurate information about the future of the region is needed. To achieve the target, this paper predicts solar irradiation and wind velocity time series by two robust artificial intelligence algorithms which are called Wavelet and ANFIS (Adaptive Network Fuzzy Inference System). The data used for the predictor system are obtained from a meteorological station in Tehran, Iran.  The results show that a) robustness of both algorithms for prediction of wind velocities and solar irradiation b) superior strength of Wavelet to ANFIS for prediction of solar irradiation c) ANFIS makes a better prediction of Wavelet for wind velocities.
Article 0 Reads 27 Citations Assessment of regions priority for implementation of solar projects in Iran: New application of a hybrid multi-criteria ... Majid Vafaeipour, Sarfaraz Hashemkhani Zolfani, Mohammad Hos... Published: 01 October 2014
Energy Conversion and Management, doi: 10.1016/j.enconman.2014.05.083
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Article 4 Reads 3 Citations Application of sliding window technique for prediction of wind velocity time series Majid Vafaeipour, Omid Rahbari, Marc A. Rosen, Farivar Fazel... Published: 18 May 2014
International Journal of Energy and Environmental Engineering, doi: 10.1007/s40095-014-0105-5
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The uncertainty caused by the discontinuous nature of wind energy affects the power grid. Hence, forecasting the behavior of this renewable resource is important for energy managers and electricity traders to overcome the risk of unpredictability and to provide reliability for the grid. The objective of this paper is to employ and compare the potential of various artificial neural network structures of multi-layer perceptron (MLP) and radial basis function for prediction of the wind velocity time series in Tehran, Iran. Structure analysis and performance evaluations of the established networks indicate that the MLP network with a 4-7-13-1 architecture is superior to others. The best networks were deployed to unseen data and were capable of predicting the velocity time series via using the sliding window technique successfully. Applying the statistical indices with the predicted and the actual test data resulted in acceptable RMSE, MSE and R2 values with 1.19, 1.43 and 0.85, respectively, for the best network.
Article 0 Reads 5 Citations Towards realistic designs of wind farm layouts: Application of a novel placement selector approach Omid Rahbari, Majid Vafaeipour, Farivar Fazelpour, Michel Fe... Published: 01 May 2014
Energy Conversion and Management, doi: 10.1016/j.enconman.2014.02.010
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Article 0 Reads 12 Citations Intelligent optimization to integrate a plug-in hybrid electric vehicle smart parking lot with renewable energy resource... Farivar Fazelpour, Majid Vafaeipour, Omid Rahbari, Marc A. R... Published: 01 January 2014
Energy Conversion and Management, doi: 10.1016/j.enconman.2013.09.006
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Article 0 Reads 3 Citations Considerable parameters of using PV cells for solar-powered aircrafts Farivar Fazelpour, Majid Vafaeipour, Omid Rahbari, Reza Shir... Published: 01 June 2013
Renewable and Sustainable Energy Reviews, doi: 10.1016/j.rser.2013.01.016
DOI See at publisher website