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EEE8189 - Digitalisation of Energy Systems (2024-2025 Fall)

Main Course

  • Venue: Room 213, Second Floor, M1 Building

  • Date&Time: 13:00-16:00 on Fridays

  • Objectives: N/A

  • 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

  • Midterm: Abstract Preparation for a Journal Article indexed in SCIE or SSCI

  • Final: Manuscript Preparation for a Journal Article indexed in SCIE or SSCI

Conference Papers:

  • Bozkurt, H., Zor, K., Bulus, K., and Celik, O. Machine Learning- Based Classification for Electricity Theft Detection in Distribution Systems. Proceedings of the 9th International Youth Conference on Energy (IYCE2024), Jul 2–6, 2024. (Colmar, France) *Abstract Accepted

  • 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) *Abstract Accepted

 

Announcements

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