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A novel analysis model of China's new energy talents

机译：中国新能源人才的新型分析模型

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摘要

Sustainable development of the new energy industry requires continuous input from professional talents. The new energy industry will continue to grow in importance, and the characteristics of the necessary cross-discipline talents that will promote its development are becoming more and more defined. This article puts forward an analysis model starting with the addition of talents carriers subdivided by specialties, and takes this subdivision as a starting point with the purpose of maximizing talents selection throughout the entire nation. First of all, we define each talent as a specific vector. Then a clustering algorithm is used to perform an analysis and the new energy talents database is created. Finally, we use an algorithm based on graph theory and discrete mathematics to calculate the essential value of the talents vector. This value provides a measurement of the importance of the talents. The current talents structure is analyzed in order to clarify understanding of the present situation so as to enable informed planning of targeted training needs and structural adjustments, thus meeting the sustainable development requirements for the new energy industry in China.
机译：新能源产业的可持续发展需要专业人才的不断投入。新能源产业的重要性将继续提高，促进其发展的必要的跨学科人才的特征也越来越明确。本文提出了一种分析模型，该模型以增加按专业划分的人才载体为起点，并以此细分为起点，目的是在全国范围内最大限度地选拔人才。首先，我们将每个人才定义为特定的载体。然后使用聚类算法进行分析，并创建新的能源人才数据库。最后，我们使用基于图论和离散数学的算法来计算人才向量的本质值。该值衡量了人才的重要性。通过分析当前的人才结构，以加深对现状的了解，从而有针对性地制定有针对性的培训需求和结构调整的计划，从而满足中国新能源产业的可持续发展要求。

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  • 来源
    《Renewable energy》 |2013年第10期|21-27|共7页
  • 作者

    Lin Liu; Guodong Li; Han Luo;

  • 作者单位

    School of Economics and Management, North China Electric Power University, Beijing 102206, China;

    School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China;

    School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    new energy talents; clustering model; primary key; binary relation; primary attribute;

    机译：新能源人才;聚类模型首要的关键;二元关系主要属性;

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