Zhe Chen – författare

Hybrid AC/DC Microgrids: Optimization, Energy Management, and Protection is a practical and holistic guide to the opportunities and challenges of this essential energy system technology. The book builds from fundamental concepts of design and operation management to recent advances and specific, practical scenarios. Combining both power management and quality control with real-world risk assessments, the book's chapters cover power generation options, including wind, solar, and hydrogen. Modeling techniques, fault detection, and protection via both physical and AI methods are included and demonstrated, along with clearly formatted case studies, objectives, and worked problems to support reader understanding. Including guidance for protection and resilience in both normal and abnormal conditions, this book prepares students, researchers, and industry engineers to design and maintain energy grids that will weather climate change and support a clean energy future.Builds a foundational understanding of the key principles, challenges, and opportunities of this approach to microgrid design and maintenanceEquips readers with practical skills through worked and workable problems, real-world case studies, and a holistic perspectiveProvides the first volume in the new Advances in Sustainable Microgrid Technologies series

Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing. First, the authors lay down the preliminary neuroscience background for engineers. The book also presents an overview of the role of correlation in the human brain as well as in the adaptive signal processing world; unifies many well-established synaptic adaptations (learning) rules within the correlation-based learning framework, focusing on a particular correlative learning paradigm, ALOPEX; and presents case studies that illustrate how to use different computational tools and ALOPEX to help readers understand certain brain functions or fit specific engineering applications.

This authoritative work provides an in-depth treatment of state space methods, with a range of applications in neural and clinical data. Advanced and state-of-the-art research topics are detailed, including topics in state space analyses, maximum likelihood methods, variational Bayes, sequential Monte Carlo, Markov chain Monte Carlo, nonparametric Bayesian, and deep learning methods. Details are provided on practical applications in neural and clinical data, whether this is characterising time series data from neural spike trains recorded from the rat hippocampus, the primate motor cortex, or the human EEG, MEG or fMRI, or physiological measurements of heartbeats or blood pressures. With real-world case studies of neuroscience experiments and clinical data sets, and written by expert authors from across the field, this is an ideal resource for anyone working in neuroscience and physiological data analysis.

Modular Multilevel Converters Expert discussions of cutting-edge methods used in MMC control, protection, and fault detection In Modular Multilevel Converters: Control, Fault Detection, and Protection, a team of distinguished researchers delivers a comprehensive discussion of fault detection, protection, and tolerant control of modular multilevel converters (MMCs) under internal and external faults. Beginning with a description of the configuration of MMCs, their operation principles, modulation schemes, mathematical models, and component design, the authors go on to explore output control, fault detection, capacitor monitoring, and other topics of central importance in the field. The book offers summaries of centralized capacitor voltage-balancing control methods and presents several capacitor monitoring methods, like the direct and sorting-based techniques. It also describes full-bridge and half-bridge submodule-based hybrid MMC protection methods and alternative fault blocking SM-based MMCs. Readers will also find: A thorough introduction to modular multilevel converters, including circuits, operation principles, modulation, mathematical models, components, and design constraintsIn-depth discussions of the control of modular multilevel converters, including output control, centralized capacitor voltage control, and individual capacitor voltage controlComprehensive explorations of fault detection of MMCs under IGBT faults, including short-circuit and open-circuit faults, as well as fault-tolerant control of MMCs Fulsome treatments of the control of MMCs under AC grid faults, including discussions of AC-side current controlPerfect for electrical engineering researchers, Modular Multilevel Converters: Control, Fault Detection, and Protection, will also earn a place in the libraries of electrical engineers working in industry, as well as undergraduate and graduate students with an interest in MMCs.

This book shows how to develop efficient quantitative methods to characterize neural data and extra information that reveals underlying dynamics and neurophysiological mechanisms. and to welcome and foster innovative or cross-disciplinary ideas along this line of research and discuss important research issues in neural data analysis.

Wind energy is now the world's fastest growing energy source. In the past 10 years, the global wind energy capacity has increased rapidly. The installed global wind power capacity has grown to 47.317 GW from about 3.5 GW in 1994. The global wind power industry installed 7976 MW in 2004, an increase in total installed generating capacity of 20%. The phenomenal growth in the wind energy industry can be attributed to the concerns to the environmental issues, and research and development of innovative cost-reducing technologies. Denmark is a leading producer of wind turbines in the world, with an almost 40% share of the total worldwide production. The wind energy industry is a giant contributor to the Danish economy. In Denmark, the 3117 MW (in 2004) wind power is supplied by approximately 5500 wind turbines. Individuals and cooperatives own around 80% of the capacity. Denmark will increase the percentage of energy produced from wind to 25% by 2008, and aims for a 50% wind share of energyproduction by 2025. Wind technology has improved significantly over the past two decades, and almost all of the aspects related to the wind energy technology are still under active research and development. However, this monograph will introduce some basics of the electrical and power electronic aspects involved with modern wind generation systems, including modern power electronics and converters, electric generation and conversion systems for both fixed speed and variable speed systems, control techniques for wind turbines, configurations of wind farms, and the issues of integrating wind turbines into power systems. P

This book consists of selected and peer-reviewed papers of 2022 5th International Conference on Green Energy and Environment Engineering (CGEEE 2022), held in Jeju Island, Korea during July 28-30, 2022.

This book consists of selected and peer-reviewed papers of 2022 5th International Conference on Green Energy and Environment Engineering (CGEEE 2022), held in Jeju Island, Korea during July 28-30, 2022.

This book offers a collection of papers presented at the 2023 6th International Conference on Green Energy and Environment Engineering (CGEEE 2023), held during July 21-23, 2023 in Jeju Island, Korea. Recent studies, promising ideas and new challenges are discussed among environmental engineers, economists and social scientists, demonstrating new paradigms for problem solving and decision making. The book provides researchers and practitioners in the field of in green energy and environmental science with the latest, cutting-edge thought and research in the field. It will appeal to readers interested in these fields, especially those who are looking for new ideas and research directions.

This book offers a collection of papers presented at the 2023 6th International Conference on Green Energy and Environment Engineering (CGEEE 2023), held during July 21-23, 2023 in Jeju Island, Korea.

This book comprises of selected and peer-reviewed papers presented at the 2024 7th International Conference on Green Energy and Environment Engineering (CGEEE 2024), in Seoul, South Korea during July 4-6, 2024.

This book comprises of selected and peer-reviewed papers presented at the 2024 7th International Conference on Green Energy and Environment Engineering (CGEEE 2024), in Seoul, South Korea during July 4-6, 2024. The conference is sponsored by University of Seoul, Korea, co-sponsored by Jeju National University, and Jeju Green Environment Centre, which aims to bring together innovative academics and industrial experts from all over the world. Topics discussed at the conference include environmental pollution and control, wastewater treatment, climate change and ecosystems management, environmental restoration, environmental regulation and monitoring, environmental systems approach, energy efficiency, energy management. These chapters provide scientists and researchers with the latest advancements in the field of green energy and environment engineering. The book will prove a useful reference to researchers, practitioners, and policy makers.

This book contains peer-reviewed and presented research papers from 2025 8th International Conference on Green Energy and Environment Engineering (CGEEE 2025), held in Jeju Island, South Korea during July 25-27. The conference is sponsored by Jeju National University, and Jeju Green Environment Centre, co-sponsored by University of Seoul, Korea. It will provide a forum for researchers and practitioners from academia and industry in the field to share ideas, designs, and experiments. The topics covered in the book include environmental dynamics, carbon capture and storage global environmental change and ecosystems management, water treatment and reclamation, monitoring and analysis of environmental contaminant, green energy vehicles, green energy storage technology. It will be a valuable reference for scholars, researchers, and professionals interested in the field of green energy and environment engineering.

This book shows how to develop efficient quantitative methods to characterize neural data and extra information that reveals underlying dynamics and neurophysiological mechanisms. Written by active experts in the field, it contains an exchange of innovative ideas among researchers at both computational and experimental ends, as well as those at the interface. Authors discuss research challenges and new directions in emerging areas with two goals in mind: to collect recent advances in statistics, signal processing, modeling, and control methods in neuroscience; and to welcome and foster innovative or cross-disciplinary ideas along this line of research and discuss important research issues in neural data analysis. Making use of both tutorial and review materials, this book is written for neural, electrical, and biomedical engineers; computational neuroscientists; statisticians; computer scientists; and clinical engineers.

The conference explores advances and practical applications in energy research and engineering, and delves into innovative approaches in four specialized tracks: New Transportation Energy, Power and Energy, Applied Thermal Energy, and Oil and Natural Gas Engineering.