... Cyber Security' (IWCI 2019). Part of series Advances in Intelligent Systems Research. 2019. P.10-13. DOI: 10.2991/iwci-19.2019.2 The article considers a methodological approach for organizing the distributed work of scientific and expert groups and knowledge management in the implementation of joint projects for forecasting energy technologies. Collaboration is based on a system of ontologies and documents based on hierarchical structures. Documents and their parts are considered in three representations: ...
Теги: knowledge management , energy development forecasting , research support , collective expert activity , joint document creationMassel L.V., Massel A.G. Digital Transformation of Russia Energy Sector: Methods and Intelligent Technologies of Scientific Substantiation of Strategic Decisions. // EPJ Web Conf. Volume 217, 2019. International Workshop on Flexibility and Resiliency Problems of Electric Power Systems (FREPS 2019). P.1-6. DOI: 10.1051/epjconf/201921701011 The problems of energy sector digital transformation in Russia are considered. The problem of insufficient use of the results available in scientific organizations...
Теги: digital energy sector , intelligent information technologies , mathematical and semantic modeling , knowledge management , fractal stratified model , multi-agent systemsKopaygorodsky A. Ontology-based decision support system for forecasting of energy infrastructure development // RPC 2018 - Proceedings of the 3rd Russian-Pacific Conference on Computer Technology and Applications. ID: 8482172. 2018. ISBN (print): 9781538675311. DOI: 10.1109/RPC.2018.8482172 This article reports the approach and software tools for decision support in forecasting the energy infrastructure development. Support of expert activity is based on using the ontological hybrid approach to...
Теги: energy infrastructure development forecasting , expert decision support , knowledge management , ontology , artificial intelligence , computer software , forecasting , decision supports , energy infrastructures , expert knowledge , hybrid approach , intelligent info
