Methods and technologies of building an intelligent service for energy technology forecasting

  • 1 Melentiev Energy Systems Institute SB RAS, Irkutsk National Research Technical University, Irkutsk, Russia


This article reports the approach and software tools for decision-making support in forecasting the energy infrastructure development. The author considers the problem of searching for information from various open sources, technology of information searching, knowledge detection and classification. The author describes architecture of Intelligent information system. For experts this classification and integrated warehouse simplify search for the knowledge required


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