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AI for Power Electronics and Renewable Energy Systems (Energy Engineering)

Description: AI for Power Electronics and Renewable Energy Systems (Energy Engineering) [Hardcover] Hu, Weihao; Zhang, Guozhou; Zhang, Zhenyuan; Abulanwar, Sayed and Blaabjerg, Frede Product Overview Rising shares of renewable energy are needed to stave off catastrophic climate change, but also bring about the challenge of intermittency, jeopardizing power quality. Instead of large central generation units, many distributed generators and loads need to be managed in order to integrate renewable energy with power systems.Artificial intelligence (AI) can meet this challenge with adaptive control and demand side management. When managing distributed and changing network components, AI can give control computers human-level performance, helping to solve key issues with intermittency, power quality and distributed generation and loads including EV. Use of AI for power systems has therefore become a research hotspot.This reference book systematically treats the applications of AI in power electronics and renewable energy systems. The book begins with an introduction to AI in power systems, then subsequent chapters cover the use of AI for electric machine fault diagnosis, for power electronic reliability, design, and control, in dual-active-bridge converters; AI for distribution network voltage control, signal stability control, and energy management of hybrid systems as well as for renewable energy systems with AI. The book ends with conclusions and an outlook for AI in power systems. Numerous worked examples throughout the text help readers understand the operating and controlling guidelines.Written by a team of well-known scientists and power system experts, AI for Power Electronics and Renewable Energy Systems is a valuable resource for researchers and PhD students, as well as experts in industry and utilities involved with electric power systems. Read more Details Publisher ‏ : ‎ The Institution of Engineering and Technology (July 23, 2024) Language ‏ : ‎ English Hardcover ‏ : ‎ 346 pages ISBN-10 ‏ : ‎ 1839537744 ISBN-13 ‏ : ‎ 45 Item Weight ‏ : ‎ 1.45 pounds Dimensions ‏ : ‎ 6.14 x 0.81 x 9.21 inches Best Sellers Rank: #8,974,370 in Books (See Top 100 in Books) #1,804 in Electric Energy #44,005 in Technology (Books) #663,621 in Textbooks (Special Features Stores) #1,804 in Electric Energy #44,005 in Technology (Books) We have been selling used books since 2012, and we've learned that the most important thing is doing good business. Honesty is our policy. Free Shipping We ship worldwide. We have multiple warehouses around the world, so please note the extended handling time on certain listings.

Price: 226.59 USD

Location: Williamsburg, Virginia

End Time: 2025-01-05T23:01:38.000Z

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AI for Power Electronics and Renewable Energy Systems (Energy Engineering)

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN: 1839537744

ISBN10: 1839537744

ISBN13: 9781839537745

EAN: 9781839537745

MPN: does not apply

Brand: NA

GTIN: 09781839537745

Number of Pages: 346 Pages

Language: English

Publication Name: Ai for Power Electronics and Renewable Energy Systems

Publisher: Institution of Engineering & Technology

Publication Year: 2024

Subject: Engineering (General), Power Resources / Electrical

Type: Textbook

Subject Area: Technology & Engineering

Author: Zhenyuan Zhang, Guozhou Zhang, Weihao Hu, Sayed Abulanwar, Frede Blaabjerg

Item Length: 9.2 in

Item Width: 6.1 in

Series: Energy Engineering Ser.

Format: Hardcover

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