首页> 外文期刊>Oxidation Communications >BULGARIA-SUPPLY, TRANSFORMATION AND CONSUMPTION OF RENEWABLE ENERGIES OVER THE PERIOD 2007-2016
【24h】

BULGARIA-SUPPLY, TRANSFORMATION AND CONSUMPTION OF RENEWABLE ENERGIES OVER THE PERIOD 2007-2016

机译:2007 - 2016年期间可再生能源的保加利亚供应,转型和消费

获取原文
获取原文并翻译 | 示例
           

摘要

In recent years, there has been a significant increase in renewable energy in the EU. In particular, in recent years, the share of renewable energy in gross final energy consumption is 17.0% in 2016. As a whole, the EU is on track to meet its 2020 targets. Some Member States need to make additional efforts to meet their obligations with respect to total share of energy from renewable sources in gross final energy consumption. The main purpose of this analysis is to find a possible answer to the question: 'Where is Bulgaria's place in supply, transformation and consumption of renewable energies among the Member States of the European Union during the period 2007-2016?' Cluster analysis is a method of classifying objects that are designed to form natural groups based on multiple criteria. Its application for the purpose of this analysis is to classify 41 countries within the scope of the study into 5 cluster groups using 10 assessment criteria (supply, transformation and consumption of renewable energies, during 2007-2016. Under such defined conditions, the most suitable clustering method is the K-Means Cluster (k-means clustering). The analysis will be performed using IBM. SPSS Statistics Version 19. For the purpose of the analysis, data from Eurostat and the Bulgarian Statistical Institute were used.
机译:近年来,欧盟的可再生能源有显着增加。特别是,近年来,2016年可再生能源中可再生能源的份额为17.0%。总的来说,欧盟正在履行其2020个目标。有些会员国需要额外努力,以履行其在总体最终能源消费中可再生能源的能源总量的义务。该分析的主要目的是找到问题的可能答案:“保加利亚在2007 - 2016年期间欧盟成员国的供应,转型和消费的供应,转型和消费的地方?”群集分析是一种对旨在基于多个标准来形成自然组的对象的方法。其申请本分析的目的是将41个国家在研究范围内分为5个聚类基团,使用10评估标准(可再生能源的供应,转型和消费,在2007 - 2016年期间。在这种确定的条件下,最适合聚类方法是K-means集群(K-means群集)。分析将使用IBM进行。SPSS统计19.为了分析的目的,使用来自欧洲统计局和保加利亚统计研究所的数据。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号