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Patents and Papers Trends of Solar-Photovoltaic(PV) Technology using LDA Algorithm

LDA알고리즘을 활용한 태양광 에너지 기술 특허 및 논문 동향 연구

  • Lee, Jong-Ho (New industry convergence technology R&D center, Ajou University) ;
  • Lee, In-Soo (New industry convergence technology R&D center, Ajou University) ;
  • Jung, Kyeong-Soo (New industry convergence technology R&D center, Ajou University) ;
  • Chae, Byeong-Hoon (New industry convergence technology R&D center, Ajou University) ;
  • Lee, Joo-Yeoun (New industry convergence technology R&D center, Ajou University)
  • 이종호 (아주대학교 신산업융합기술센터) ;
  • 이인수 (아주대학교 신산업융합기술센터) ;
  • 정경수 (아주대학교 신산업융합기술센터) ;
  • 채병훈 (아주대학교 신산업융합기술센터) ;
  • 이주연 (아주대학교 신산업융합기술센터)
  • Received : 2017.08.01
  • Accepted : 2017.09.20
  • Published : 2017.09.28

Abstract

Solar energy is attracting attention as an alternative to fossil fuels. However, there was a lack of discussion on the overall research direction and future direction of research in technology development. In order to develop more effective technology, we analyzed and discussed the technology trend of solar energy using patent data and thesis data. As an analysis method, topics were selected by using topic modeling and text mining, the increase of included keywords was analyzed, and the direction of development of solar technology was analyzed. Research on solar power generation technology is expected to proceed steadily, and it is analyzed that intensive research will be done especially on high efficiency and high performance technology. Future studies could be conducted by adding overseas patent data and various paper data.

Keywords

Renewable Energy;PV;LDA;Topic Modeling;Trend analysis

Acknowledgement

Supported by : 한국에너지기술평가원

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