Geospatial potential for harvesting wind energy is not an easy task to perform in conditions of deficiency of accurate data in remote and large areas (macro to medium locations). There are different methodologies available to identify the most suitable location for the installation of wind power generators. One of the most suitable approaches that employ the Multi-Criteria Analysis method for wind energy potential of the Municipality of Knjaževac (East Serbia) is combining the Analytic Hierarchy Process (AHP) and Geographic Information Systems. Collection and creation of geospatial data for the research encompassed meteorological data from all available sources, digital elevation model (DEM) to analyze the orography of the terrain, and Landsat 8 satellite data to analyze six land cover (LC) classes. The identification of three best locations for the wind power generators (wind farms) using Multi-Criteria Decision Making (MCDM) analysis solved the major location problem: how to select the best locations for investment in the renewable energy sector and minimize the impact on the environment. The result indicates that only one part of the municipality, at the hub height of 100 m, has enough wind potential to produce energy.

在偏远和大区域（从宏观到中等位置）缺乏准确数据的情况下，获取风能的地理空间潜力并非一件容易的事。有多种方法可用于确定最适合安装风力发电机的位置。将多准则分析方法用于肯亚日瓦茨市（东塞尔维亚）的风能潜力的最合适方法之一是将层次分析法（AHP）与地理信息系统相结合。该研究的地理空间数据的收集和创建包括来自所有可用来源的气象数据，用于分析地形地形的数字高程模型（DEM）和用于分析六种土地覆盖（LC）类的Landsat 8卫星数据。使用多准则决策（MCDM）分析确定了风力发电机（风电场）的三个最佳位置，从而解决了主要的位置问题：如何选择最佳位置进行可再生能源领域的投资，并最大程度地减少对可再生能源领域的影响环境。结果表明，在枢纽高度为100 m的自治市中，只有一部分具有足够的风能来产生能量。