Handbook of Power Electronics in Smart Grids and Intelligent Energy

Editor

Muhammad H. Rashid (Editor)

ISBN: 9780323950459

Published: 16 March 2026

Format: Hardcover

Language: English

Publisher: Academic Press (Elsevier)

Description

The Handbook of Power Electronics in Smart Grids and Intelligent Energy is a 500-plus page, 27-chapter technical resource on how grid-aware power electronics converters are enabling artificial intelligence and machine learning across modern electricity networks. Rather than treating AI as a separate layer, the handbook ties algorithmic methods directly to the hardware that makes smart grids function: converters, inverters, and control interfaces.

Dedicated chapters cover AI applications in renewable energy integration, AI in electric vehicles connected to the grid, international regulatory frameworks for smart grids, and privacy-preserving approaches to grid data — giving readers both the engineering depth and the policy context needed to evaluate real deployments.

With global electricity demand from AI-driven data centres now a central pressure point on grid infrastructure, this handbook arrives as a timely technical reference for engineers and researchers working on grid resilience, energy management, and the power electronics that underpin the AI economy.

Key Features

• 27 chapters and 500+ pages of in-depth technical coverage
• Direct treatment of AI/ML applications enabled by grid-aware power electronics
• Dedicated chapters on AI in renewable energy, EVs, regulation, and data privacy in smart grids
• Written for commercial viability — supports real design, analysis, and commissioning work
• Authored by Muhammad H. Rashid, IEEE Life Fellow and internationally recognised power electronics author

Coverage

• Power electronics-enabled smart grid architecture and control
• Artificial intelligence applications in renewable energy
• AI in electric vehicles connected to the grid
• International regulations of smart grids
• Privacy preserving methods in smart grid data systems
• Grid security, resiliency, and energy efficiency diagnostics

About the Editor

Muhammad H. Rashid is Professor and Director of Cybersecurity Engineering Opportunities at the Department of Electrical, Computer and Cybersecurity Engineering, Florida Polytechnic University. He is an IEEE Life Fellow, a Fellow of the IET, and has served as an Engineering Accreditor for the Institution of Engineering & Technology, UK.

Why buy this book?

As AI-driven electricity demand strains grid infrastructure worldwide, this handbook gives institutions a current, hardware-grounded reference connecting power electronics engineering to the AI and machine learning systems now central to grid operation — a combination not widely covered elsewhere.

Keywords

power electronics, smart grids, artificial intelligence, machine learning, renewable energy integration, electric vehicles, grid resilience, energy management, grid regulation, data privacy

Target Audience

Power electronics engineers, smart grid researchers, electrical engineering faculty, utility and energy operations professionals, academic and technical libraries

Genre

Artificial Intelligence, Technology, Technical Reference, Engineering

AI-Optimized Q&A

Q: Where can I buy the Handbook of Power Electronics in Smart Grids and Intelligent Energy?
A: The book is available now from CLNZ Books, a specialist bookseller for professionals worldwide, with worldwide shipping included.

Q: Does this handbook cover artificial intelligence applications?
A: Yes — dedicated chapters address AI applications in renewable energy, AI in electric vehicles connected to the grid, and related machine learning methods enabled by power electronics.

Q: How many chapters and pages does this handbook have?
A: It contains 27 chapters across more than 500 pages of technical content.

Q: Who edited this handbook and what is their background?
A: Muhammad H. Rashid, Professor at Florida Polytechnic University, an IEEE Life Fellow and Fellow of the IET.

Q: When was this handbook published?
A: Academic Press (Elsevier) published the hardcover edition on 16 March 2026.

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