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POWER CONVERTERS, DRIVES AND CONTROLS FOR SUSTAINABLE OPERATIONS Written and edited by a group of experts in the field, this groundbreaking reference work sets the standard for engineers, students, and professionals working with power converters, drives, and controls, offering the scientific community a way towards combating sustainable operations. The future of energy and power generation is complex. Demand is increasing, and the demand for cleaner energy and electric vehicles (EVs) is increasing with it. With this increase in demand comes an increase in the demand for power converters. Part one of this book is on switched-mode converters and deals with the need for power converters, their ...
In contemporary engineering domains, optimization and decision-making issues are crucial. Given the vast amounts of available data, processing times and memory usage can be substantial. Developing and implementing novel heuristic algorithms is time-consuming, yet even minor improvements in solutions can significantly reduce computational costs. In such scenarios, the creation of heuristics and metaheuristic algorithms has proven advantageous. The convergence of machine learning and metaheuristic algorithms offers a promising approach to address these challenges. Metaheuristic and Machine Learning Optimization Strategies for Complex Systems covers all areas of comprehensive information about ...
SMART GRIDS AND GREN ENERGY SYSTEMS Green energy and smart grids are two of the most important topics in the constantly emerging and changing energy and power industry. Books like this one keep the veteran engineer and student, alike, up to date on current trends in the technology and offer a reference for the industry for its practical applications. Smart grids and green energy systems are promising research fields which need to be commercialized for many reasons, including more efficient energy systems and environmental concerns. Performance and cost are tradeoffs which need to be researched to arrive at optimal solutions. This book focuses on the convergence of various technologies involv...
The recent book of the series continues the collection of articles dealing with the important and efficient combination of traditional and novel mathematical approaches with various computational intelligence techniques, with a stress of fuzzy systems, and fuzzy logic. Complex systems are theoretically intractable, as the need of time and space resources (e.g., computer capacity) exceed any implementable extent. How is it possible that in the practice, such problems are usually manageable with an acceptable quality by human experts? They apply expert domain knowledge and various methods of approximate modeling and corresponding algorithms. Computational intelligence is the mathematical tool box that collects techniques which are able to model such human interaction, while (new) mathematical approaches are developed and used everywhere where the complexity of the sub-task allows it. The innovative approaches in this book give answer to many questions on how to solve “unsolvable” problems.
This book aims to highlight the latest achievements in the use of AI and multimodal artificial intelligence in biomedicine and healthcare. Multimodal AI is a relatively new concept in AI, in which different types of data (e.g. text, image, video, audio, and numerical data) are collected, integrated, and processed through a series of intelligence processing algorithms to improve performance. The edited volume contains selected papers presented at the 2022 Health Intelligence workshop and the associated Data Hackathon/Challenge, co-located with the Thirty-Sixth Association for the Advancement of Artificial Intelligence (AAAI) conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. This book provides information for researchers, students, industry professionals, clinicians, and public health agencies interested in the applications of AI and Multimodal AI in public health and medicine.
The exchange of data is the most significant feature of cyber-physical systems (CPS). There are definite advantages and limitations of CPS that must be considered in order to be utilized appropriately across various fields and disciplines. Cyber-Physical Systems and Supporting Technologies for Industrial Automation discusses the latest trends of cyber-physical systems in healthcare, manufacturing processes, energy, and the mobility industry. The book also focuses on advanced subsystems required for the communication of real-time data. Covering key topics such as supporting technologies, Industry 4.0, and manufacturing, this premier reference source is ideal for computer scientists, engineers, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.
Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence presents methods for monitoring transmission systems and enhancing distribution system performance using modern optimization techniques considering different multi-objective functions such as voltage loss sensitivity indexes, reducing total annual cost, and voltage deviation. The authors offer a comprehensive survey of distributed energy resources (DERs), explain the backward/forward sweep (BFS) power flow algorithm, and present simulation results on the optimal integration of photovoltaic-based distributed generators (PV-DG) and distribution static synchronous compensators (DSTATCOM) in different transmission and distribution systems. This book will be a valuable academic and industry resource for electrical engineers, students, and researchers working on optimization techniques, photovoltaic systems, energy engineering, and artificial intelligence.
URBAN ENERGY SYSTEMS With climate change and energy issues infiltrating seemingly every aspect of our lives, it is more important than ever to continue the march toward sustainability. It is not just about switching to a gasoline-free car or installing solar panels. Many countries, including our own, are dealing with these very difficult problems by converting to “smart cities” and other “green energy” projects. This is perhaps one of the most important issues facing our world today. Urban energy systems play a critical role in the sustainability and resilience of smart cities. As cities continue to grow and face increasing energy demands, it becomes essential to develop efficient an...