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http://dx.doi.org/10.14400/JDC.2017.15.9.231

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

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)
Publication Information
Journal of Digital Convergence / v.15, no.9, 2017 , pp. 231-239 More about this Journal
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;
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
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