EEE8189 - Digitalisation of Energy Systems (2024-2025 Fall)
Main Course
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Venue: Dr Zor's Office (Room 213, Second Floor, M1 Building)
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Date&Time: 13:00-16:00 on Fridays
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Objectives: This course will teach how to digitalise the conventional grid and which digital technologies can be used for this, including but not limited to, AI, ML, blockchain, and computer simulations.
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Contents: Digital Transformation of Energy Systems: Digitalisation and Digital Transformation, Smart Cities, Digital Twins, Transactive Energy, Blockchain, IoT and IoE, Data Ownership in the Digital Power System; Computational Methods for Energy Networks; Decision Support in Energy Systems; AI-Based Data and Machine Learning Approaches for Energy Systems; Cybersecurity of Digital Energy Systems.
Evaluation
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Midterm: Abstract Preparation for a Journal Article indexed in SCIE or SSCI
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Final: Manuscript Preparation for a Journal Article indexed in SCIE or SSCI
Conference Papers:
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Bozkurt, H., Zor, K., Bulus, K., and Celik, O. Machine Learning-Based Classification for Electricity Theft Detection in Distribution Systems. Digital Proceedings of the 19th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES2024), (0858):1-9, Sep 8–12, 2024. (Rome, Italy)
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Aydin, B., Zor, K., and Disken, G. Very Short-Term Prosumer Electric Load Forecasting Using Deep Learning-Based Techniques. Proceedings of the 9th International Youth Conference on Energy (IYCE2024), Jul 2–6, 2024. (Colmar, France)
Announcements