Identification of spatial patterns in European territories based on the assessment of renewable energy potential to support the 2030 Energy Strategy

摘要: The study presents an effort to classify the territories of a specific area, according similarities in estimated potential their renewable sources, considering also economic and sociodemographic structure geographic features. Specifically, paper focuses on area EU28 uses as basis for analysis data estimating energy collected elaborated framework project HotMaps (Horizon 2020). method used group territorial units is cluster analysis, specifically k-means algorithm. present some interesting patterns at NUTS3 level are classified into 17 clusters. shows presence heterogeneity within national borders inside macro regions target EU programmes, Adriatic-Ionian region, Alpine Baltic Sea region Danube region. results this research meant be by European policy makers developing more focused transnational policies strategies.