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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf StudyVideo and Text Based

Courses and Certificate Fees

Fees InformationsCertificate AvailabilityCertificate Providing Authority
INR 12510yesTU 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?

Instructors

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