Safe Machine Learning Application in Power Industry
The course contains the description of the best practices of AI & ML integration in up-to-date fuel and energy sectors. The major part of the course is industry-oriented practical training, which provides necessary knowledge and skills in the sphere of data analysis and machine learning to manage real story problems of the industry.
The main goal of the course is to provide a comprehensive understanding of the theory and practice of intelligent systems and the application of machine learning methods in the sphere of power industry (in Smart Energy Systems). With particular emphasis on new cybersecurity threats due to the integration of intelligence systems to critical infrastructure.
Within the framework of the discipline students will carry out their own theoretical and experimental research in machine learning, cyber security, design of Smart Energy Systems, and master the skills of data representation, processing, and analysis.
The target audience of the course covers bachelor and master students, pursuing the degree in Computer Science, Power Engineering and Electronics.
- The course was developed within the framework of Erasmus+ (Establishing Smart Energy System Curriculum at Russian and Vietnamese Universities (ESSENCE) project and supported by the European Union, Key Action 2, Capacity Building in Higher Education.
Created / Updated: 9 December 2020 / 15 December 2021
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Phone Numbers in Ekaterinburg:
Ural Federal University
620002, 19 Mira street, Ekaterinburg, Russia
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