BIG DATA ANALYSIS FOR INNOVATION DEVELOPMENT DECISION MAKING IN ENERGY SECTOR
Alexey V. Mikheev
Melentiev Energy Systems Institute Siberian Branch of the Russian Academy of Sciences
The article discusses the feasibility and possible applications of big data analysis for making decisions on innovative development in the energy sector. A bibliometric review of scientific research on the use of big data analysis for problems in the energy sector was carried out based on publications of Scopus database for 2010-2020. The substantive tasks of monitoring, forecasting and evaluating the prospects of technological solutions in the energy sector based on semantic analysis of big data are presented.
big data analysis, tech mining, semantic analysis of texts, scientific and technological forecasting, innovative development