Artificial Intelligence for Power Electronics - by Ahteshamul Haque (Hardcover)
About this item
Highlights
- About the Author: Dr. Ahteshamul Haque is an Associate Professor in the Department of Electrical Engineering, Jamia Millia Islamia, New Delhi.
- 400 Pages
- Technology, Power Resources
Description
From the Back Cover
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, the fundamentals of power electronics and the challenges the field faces in design to production, and 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.
Topics discussed in Artificial Intelligence for Power Electronics 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.
About the Author
Dr. Ahteshamul Haque is an Associate Professor in the Department of Electrical Engineering, Jamia Millia Islamia, New Delhi.
Dr. Saad Mekhilef is an IEEE and IET Fellow, a Distinguished Professor at the School of Science, Swinburne University of Technology, Australia, and an Honorary Professor in the Department of Electrical Engineering, University of Malaya.
Azra Malik is a Doctoral Research Scholar in the Department of Electrical Engineering, Jamia Millia Islamia, New Delhi.
