首页> 外文会议>International Conference on Renewable Energy Research and Applications >Classification of Turkey among European Countries by Years in Terms of Energy Efficiency, Total Renewable Energy, Energy Consumption, Greenhouse Gas Emission and Energy Import Dependency by Using Machine Learning
【24h】

Classification of Turkey among European Countries by Years in Terms of Energy Efficiency, Total Renewable Energy, Energy Consumption, Greenhouse Gas Emission and Energy Import Dependency by Using Machine Learning

机译:欧洲国家土耳其分类在能源效率,可再生能源总能,能源消耗,温室气体排放和能源进口依赖性依次进行分类

获取原文

摘要

Republic of Turkey, one of the European Union candidate countries, is affected by social and economical, from Greenhouse gas emission (GHG). Therefore, like the other European countries, Republic of Turkey is also in the works to reduce GHG emission rate and make renewable energy sources such as Wind power generator, solar cell technologies, more efficient. In this study, classification of Turkey in terms of energy efficiency, energy import dependency, total renewable energy (TRE), GHG and energy consumption compared to other European Union countries is defined by using k- Means Clustering algorithm.
机译:土耳其共和国是欧盟候选国家之一,受到温室气体排放(GHG)的社会和经济的影响。因此,与其他欧洲国家一样,土耳其共和国也在工程中减少温室气体排放率,并使风力发电机,太阳能电池技术等可再生能源,更高效。在本研究中,通过使用K-METION集群算法定义了与其他欧盟国家相比的能效,能源进口依赖性,总可再生能源(TRE),GHG和能源消耗的分类。

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