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AI for Power Electronics and Renewable Energy Systems

Contributor(s): Hu, Weihao (Author), Zhang, Guozhou (Author), Zhang, Zhenyuan (Author), Abulanwar, Sayed (Author), Blaabjerg, Frede (Author)

ISBN: 9781839537745

Publisher: Institution of Engineering & Technology

Hardcover
$155.00
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Pub Date: July 23, 2024

Lexile Code: 0000

Target Age Group: NA to NA

Physical Info: 0.81" H x 9.21" L x 6.14" W ( 1.45 lbs) 346 pages

Series: Energy Engineering

Descriptions, Reviews, etc.

Description:

This structured monograph conveys the use of AI in managing emerging power systems with distributed renewables. Coverage includes electric machine fault diagnosis, reliability control, active distribution, and management of energy systems. Numerous examples help readers understand the principles.

Brief description:

Guozhou Zhang is a lecturer at the College of Engineering and Technology, Southwest University, China. He received his PhD degree from the University of Electronic Science and Technology of China, Chengdu, China, in 2022. He has published more than 30 peer-reviewed journal papers. His research interests include energy management, reinforcement learning, wind farm control, distributed energy systems, power stability, and energy storage control.

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