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SPE 424 Application of AI for Energy Trading

HND2 levelEngineering & Technology28 topics

SPE 424 covers 28 topics. StudyPath paces them into daily study sessions that finish before your exam date, with practice questions and worked answers for each one.

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Course outline

The topics this course covers, in teaching order.

  1. Blockchain and distributed ledgers for energy markets
  2. Peer-to-peer energy market fundamentals
  3. AI and machine learning for energy applications
  4. Data structures and cryptography for blockchain systems
  5. Time series forecasting for energy production and consumption
  6. Price forecasting and anomaly detection in energy data
  7. Smart contracts for automated energy transactions
  8. Token economics and interoperability in energy trading platforms
  9. Decentralized energy trading platforms and DApps
  10. Grid stability with decentralized control systems
  11. Reinforcement learning and multi-agent energy coordination
  12. MDPs for automated energy trading
  13. Blockchain security, privacy and threat modeling for energy systems
  14. Energy market regulations, trading rules and blackout prevention
  15. AI in energy trading
  16. Machine learning for energy forecasting
  17. Energy demand forecasting
  18. Energy market forecasting
  19. Energy output forecasting
  20. Python programming for machine learning
  21. Time series forecasting
  22. MATLAB applications
  23. Decentralized grid stability simulation
  24. MDP-based energy trading simulation
  25. Blockchain energy security model
  26. Threat modeling
  27. Blockchain system optimization
  28. Blackout prevention simulation

A sample from this course

One topic, as StudyPath teaches it.

Blockchain and distributed ledgers for energy markets

Blockchain is a type of distributed ledger that records transactions in immutable blocks linked by cryptographic hashes, ensuring transparency and security without a central authority. In energy markets, blockchain enables peer‑to‑peer trading, real‑time settlement, and automated smart‑contract execution, thereby reducing counter‑party risk and improving market efficiency.

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