Newly emerging renewable alternative energy resources are expected to take an increasing role in future energy scenarios. Environmental and technical benefits of wind energy have made it a promising alternative to conventional energy resources. Wind energy is a most ancient energy source and is the root material for almost all fossil and renewable types. Determining the priority of different locations has special importance for placing wind systems. Different factors may affect the selection of a suitable location for wind plants. These factors must be considered concurrently for optimum location identification of wind plants. This article presents an approach for location of wind plants by use of data envelopment analysis (DEA). Efficiency scores of 12 months are evaluated by using the modified technique for order preference by similarity to ideal solution (TOPSIS) method. The administrated approach was tested for 34 different cities in Turkey in different regions.