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Machine learning for energy systems

Sidorov D., Liu F., Sun Y. Machine learning for energy systems // Energies. Vol.13. No.18. ID: 4708. 2020. DOI: 10.3390/en13184708 [No abstract available] входит

Теги: artificial intelligence , cyber-physical systems , energy management system , energy storage , energy systems , forecasting , industrial mathematics , intelligent control , inverse problems , load leveling , of
Раздел: ИСЭМ СО РАН
Identification of pre-emergency states in the electric power system on the basis of machine learning technologies

Kurbatsky V., Tomin N. Identification of pre-emergency states in the electric power system on the basis of machine learning technologies // Proceedings of the World Congress on Intelligent Control and Automation (WCICA). 2016. P.378-383. ISBN (print): 9 781 467 . DOI: 10.1109/WCICA.2016.7578291 The paper proposes a concept of an intelligent system for early detection of pre-emergency state in electric power system as an ...

Теги: artificial intelligence , electric power systems , intelligent control , intelligent systems , learning algorithms , learning systems , construction principle , emergency control , emergency situation , emerge
Раздел: ИСЭМ СО РАН


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