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A power converter is a device used in electrical engineering, power engineering, and the electric power sector to convert electric energy from one form to another, such as converting between AC and DC, changing voltage or frequency, or a combination of these. It is used in a variety of applications, such as industrial drives, power supply, energy generating equipment, consumer goods, electrical vehicles/aeroplanes/ships, smart grids and more.This book will open a door for engineers to design the power converters via the artificial intelligence (AI) method. It begins by reviewing current AI technology in power converters. The book then introduces customized AI algorithms for power converters that take into account the particular characteristics of power converters. The book then presents a set of AI-based design methodologies for power devices, including DC/DC converters, resonant DC/DC converters, bidirectional DC/DC converters, DC/AC inverters, and AC/DC rectifiers. This is the first book to cover all you need to know about using AI to create power converters, including a literature review, algorithm, and circuit design.

This book is devoted to the optimum design of the DCT in a hybrid AC/DC microgrid, which takes into account not only the influence of different inductors/capacitors values, but also numerous design goals (i.e., VCG, efficiency, stability and so on). This book examines the DCT's design problem in detail. It begins by reviewing existing DCTs in, the hybrid AC/DC microgrid and their design problems. Following that, this book proposes a family of DCT optimization design approaches to ensure that the designed DCT has good power transmission and voltage regulation ability in the hybrid AC/DC microgrid, even when the actual inductors/capacitors values fluctuate with practical power and temperature. Following that, this book provides a family of multi-objective optimization design methodologies for the DCT to guarantee that it concurrently achieves the requirements of VCG, efficiency, and system stability. This book also covers how to control the DCT in a hybrid AC/DC microgrid optimally and generically.

This book is a comprehensive collection of technologies and methods on intelligent information processing, which includes artificial neural network, fuzzy logic, and evolutionary computing. It also introduces the latest research directions and progress in intelligent information processing, such as transfer learning through convolutional neural network, time series prediction, clustering based on fuzzy neural network, test and evaluation of the traveling salesman problem, test and evaluation of continuous optimization problem, and more. This book promotes the development and application of intelligent information processing technology in the field of computational intelligence, effectively improving the intersection and integration of intelligent information processing methods. Researchers in computational intelligence and artificial intelligence technology, as well as teachers, students, and others interested in the subject, will benefit from this book.

This book presents a systematic study on the air balancing technologies in heating, ventilation and air conditioning (HVAC) systems. Several modern air balancing methods, including advanced control-based air balancing, data-driven-based air balancing, and energy-saving-oriented air balancing, are introduced in this book to balance the air duct system. Furthermore, this book provides clear instructions for both HVAC designers and engineers, as well as researchers, on how to design and balance duct systems for improved performance and energy efficiency.