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EEE8183 - Energy Informatics (2023-2024 Spring)

Course Details

  • Venue: Room 213, Second Floor, M1 Building

  • Date&Time: 13:15-16:00 on Fridays

  • Objectives: This course aims to teach to model electric power systems with software tools and real data sets to assess impact of smart grid concepts, integration of renewable resources, storage, and electric vehicles.

  • Contents: Energy informatics exploits the state-of-the-art ICT (information and communication technology) to tackle the global warming and climate change challenges. The scope of energy informatics includes computing and communications technologies and their applications for sustainable energy sectors - e.g., smart grid, solar, electric vehicles, and storage. This course lay the foundations to understand where and how informatics techniques apply in the 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

  • Tolun, G. G., Zor, K., and Kaplan, Y. A. Daily Global Solar Irradiation Prediction of a University Campus via a Hybrid AI-Based Method. Digital Proceedings of the 18th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES2023), (0104):1-14, Sep 24–29, 2023. (Dubrovnik, Croatia)

  • Tolun, O. C., Zor, K., and Tutsoy, O. Electric Vehicle Charging Demand Prediction Using a Novel Machine Learning- Based Technique. Digital Proceedings of the 18th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES2023), (0175):1-14, Sep 24–29, 2023. (Dubrovnik, Croatia)

Announcements

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