Artificial Intelligence for Power Electronics
eBook - PDF

Artificial Intelligence for Power Electronics

  1. 398 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Artificial Intelligence for Power Electronics

About this book

Thorough review of how artificial intelligence can enhance the design, control, and optimization of power electronics systems

Artificial Intelligence for Power Electronics provides a comprehensive overview of the intersection between artificial intelligence (AI) and the field of power electronics, exploring how AI can revolutionize and enhance the design, control, and optimization of power electronics systems. The book covers the fundamentals of AI and power electronics, and the challenges the field faces in design to production, with the solutions of these challenges through AI methods. Example solutions, along with Q&A review sections, are included throughout the text, with coverage of both Python and MATLAB.

Some of the topics discussed in this book include:

  • Supervised, unsupervised, and reinforcement machine learning and the role of data in training machine learning models
  • Techniques for AI data collection in power electronics and how to clean, normalize, and handle missing values of data
  • Optimization techniques such as Particle Swarm Optimization and Ant Colony Optimization
  • Detection techniques for identifying faults and anomalies and clustering algorithms to group similar operational behavior
  • Essential Python libraries for machine learning and how to perform machine learning on a Raspberry Pi

Delivering an industry-specific approach to AI applications, Artificial Intelligence for Power Electronics is a helpful reference for undergraduate, postgraduate, and PhD students in electrical, electronic, and computer engineering. Mechanical engineers and other industry professionals may also find it valuable.

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Yes, you can access Artificial Intelligence for Power Electronics by Ahteshamul Haque,Saad Mekhilef,Azra Malik in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Contents
  5. About the Editors
  6. List of Contributors
  7. Preface
  8. Chapter 1 Fundamentals of Power Electronics and Key Challenges
  9. Chapter 2 Introduction of AI and Utility for Power Electronics Applications
  10. Chapter 3 Machine Learning Fundamentals
  11. Chapter 4 Data Collection and Preā€processing
  12. Chapter 5 Fuzzy Logic and Metaheuristic Methods in Power Electronics
  13. Chapter 6 Supervised Learning for Power Electronics
  14. Chapter 7 Unsupervised Learning for Anomaly Detection
  15. Chapter 8 Reinforcement Learning and Control
  16. Chapter 9 Implementation of Machine Learning for Power Electronics Application Using MATLAB
  17. Chapter 10 Implementation of Machine Learning for Power Electronics Application Using PYTHON
  18. Chapter 11 Integration of AI in Power Electronics in Realā€time
  19. Index
  20. EULA