The world is facing an energy crisis due to the increasing demand for power and the depletion of non-renewable resources. To address this challenge, researchers have been exploring the use of artificial intelligence (AI) in power electronics and renewable energy systems. This book provides an overview of the current state of AI technology in these fields, highlighting its potential benefits and challenges. It covers topics such as machine learning, deep learning, and neural networks, as well as their applications in power electronics and renewable energy systems. The book also discusses the future outlook for AI in these areas and how it can help address the energy crisis. Book Description: AI for Power Electronics and Renewable Energy Systems Author: Weihao Hu, Guozhou Zhang, Zhenyuan Zhang 2024 346 IET Summary: The world is facing an unprecedented energy crisis due to the growing demand for power and the depletion of non-renewable resources. To address this challenge, researchers have been exploring the use of Artificial Intelligence (AI) in power electronics and renewable energy systems. This book offers a comprehensive overview of the current state of AI technology in these fields, highlighting its potential benefits and challenges. It delves into topics such as machine learning, deep learning, and neural networks, as well as their applications in power electronics and renewable energy systems. Additionally, the book discusses the future outlook for AI in these areas and how it can contribute to resolving the energy crisis.

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