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Digitalization of Intelligent and Integrated Energy Systems
Beginner
Online
6 Weeks
Free Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 12510 | yes | TU Delft |
The Syllabus
- Digitalization and digital transformation
- Smart cities
- Digital twins
- Transactive energy
- Blockchain
- Data ownership in the digital power system
- What is numerical simulation, and why do we need it?
- What methods are there for simulating the electrical power system?
- How can we couple different energy domains?
- How do different modeling approaches impact simulation performance?
- What trade-offs there are in energy systems.
- What influence different units and their properties have on decision objectives.
- How capacity planning and other methods can be used in decision making.
- How to use the optimal scheduling problem to meet your decision objectives.
- Machine learning basics
- Forecasting with regression models, ensemble methods and neural networks
- Dynamic security assessment with classification and decision trees
- Identification of customer types using k-means clustering
- Anomaly detection using auto-encoders
- Surrogate modeling
- Learning control actions with reinforcement learning
- What is cybersecurity?
- How is the IT-OT network of the power grid organized?
- How does a digital substation work?
- What communication protocols are used, and how can these be exploited?
- How can we analyze the impact of cyber attacks on the power grid?
- What can we do to mitigate these cyber threats?
- How can blockchain help to mitigate Internet-of-Things based cyber attacks?