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Omid Rahbari   Dr.  University Educator/Researcher 
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Omid Rahbari published an article in September 2017.
Top co-authors
Edmundas Kazimieras Zavadskas

107 shared publications

Institute of Sustainable Construction, Vilnius Gediminas Technical University, Sauletekio al. 11, Vilnius LT-10223, Lithuania

Farivar Fazelpour

10 shared publications

Department of Energy Systems Engineering, South Tehran Branch, Islamic Azad University, Tehran 11369, Iran

Majid Vafaeipour

8 shared publications

Department of Mechanical and Aerospace Engineering, Syracuse University, USA

Mohammad H. Valizadeh

1 shared publications

Shiraz University of Technology

4
Publications
14
Reads
2
Downloads
7
Citations
Publication Record
Distribution of Articles published per year 
(2013 - 2017)
Total number of journals
published in
 
3
 
Publications
Article 0 Reads 4 Citations An optimal versatile control approach for plug-in electric vehicles to integrate renewable energy sources and smart grid... Omid Rahbari, Majid Vafaeipour, Noshin Omar, Marc A. Rosen, ... Published: 01 September 2017
Energy, doi: 10.1016/j.energy.2017.06.007
DOI See at publisher website
CONFERENCE-ARTICLE 5 Reads 0 Citations Placement of Wind Farms Based on a Hybrid Multi Criteria Decision Making for Iran Fahime Heidarzadeh, Mohammad Hossein Morshed Varzandeh, Omid... Published: 03 November 2014
The 4th World Sustainability Forum, doi: 10.3390/wsf-4-e009
DOI See at publisher website ABS Show/hide abstract
In the current century, energy is become as one of the most critical issues in human's life. Due to global warming, air pollution and the other problems caused by fossil fuels, one of the appropriate sources which is renewable and is invested is wind energy. Iran has a good potential for using wind energy based on its geographical features. Therefore, to have the best productivity for employing wind energy, locating farm winds in a suitable site is a delicate issue. This research applied a hybrid MCDM method for prioritizing potential cities in Iran to install wind farms. In this regard, Step-wise Weight Assessment Ratio Analysis (SWARA) is employed to rank criteria and Weighted Aggregates Sum Product Assessment (WASPAS) applied for evaluating alternatives. In this study 10 cities are detected as high potential places for this aim. Eventually, the most appropriate city is identified as the best place to set up farm winds, and a comprehensive GIS map depicts the results. The results of this research can be used in decision making and planning of energy management in top level of managing requirements of countries in all respects.
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.
BOOK-CHAPTER 4 Reads 1 Citation Assessment of Solar Radiation Potential for Different Cities in Iran Using a Temperature-Based Method Farivar Fazelpour, Majid Vafaeipour, Omid Rahbari, Mohammad ... Published: 01 January 2013
Smart Universities, doi: 10.1007/978-3-642-36645-1_19
DOI See at publisher website
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