Future sign detection in smart grids through text mining
Chankook Park, Seung-Hyun Cho · Energy Procedia · 2017
Policymakers and stakeholders need insights into smart grid issues related to the technologies, markets and so on to drive more effective smart grid projects. A comprehensive examination of relevant references would be helpful in this regard, but extensive time and efforts are required to obtain the insights. We seek to explore which smart grid issues have been highlighted and will emerge in the future using the future sign searching technique through text mining. As a result, keywords such as ‘gateway,’ ‘university,’ ‘oil’ and so on were highlighted as weak signals. Furthermore, this study helps to promote the development of scientific research in future sign analysis through text mining by presenting some challenges in the research methodology. Especially, we need to examine which weak signals have the potential to develop into strong signals in further research.