With the increasing penetration of renewable energy and distributed energy resources, smart grid is facing great challenges, which could be divided into two categories. On the one hand, the endogenous uncertainties of renewable energy and electricity load lead to great difficulties in smart grid forecast. On the other hand, massive electric devices as well as their complex constraint relationships bring about significant difficulties in smart grid dispatch. Owe to the rapid development of artificial intelligence in recent years, several artificial intelligence enabled computational methods have been successfully applied in the smart grid and achieved good performances. Therefore, this book is concerned with the research on the key issues of artificial intelligence enabled computational methods for smart grid forecast and dispatch, which consist of three main parts. (1) Introduction for smart grid forecast and dispatch, in inclusion of reviewing previous contribution of various research methods as well as their drawbacks to analyze characteristics of smart grid forecast and dispatch. (2) Artificial intelligence enabled computational methods for smart grid forecast problems, which are devoted to present the recent approaches of deep learning and machine learning as well as their successful applications in smart grid forecast. (3) Artificial intelligence enabled computational methods for smart grid dispatch problems, consisting of edge-cutting intelligent decision-making approaches, which help determine the optimal solution of smart grid dispatch. The book is useful for university researchers, engineers, and graduate students in electrical engineering and computer science who wish to learn the core principles, methods, algorithms, and applications of artificial intelligence enabled computational methods.
With its comprehensive coverage of recent progress in metallic biomaterials, this reference focuses on emerging materials and new biofunctions for promising applications. The text is systematically structured, with the information organized according to different material systems, and concentrates on various advanced materials, such as anti-bacterial functionalized stainless steel, biodegradable metals with bioactivity, and novel structured metallic biomaterials. Authors from well-known academic institutes and with many years of clinical experience discuss all important aspects, including design strategies, fabrication and modification techniques, and biocompatibility.
This book provides an introduction to nanofluidics in a simple manner and can be easily followed by senior undergraduate students, graduate students, and other researchers who have some background in fluid mechanics. The book covers the main topics about the fundamentals of nanofluidics and how it differs from classic fluid mechanics. It also describes the methodologies of nanofluidics, including numerical approaches, e.g., molecular dynamics simulation and experimental techniques. Fundamental physics and new phenomena in nanofluidics are the major concerns of this book. The author goes on to discuss nanocofinements and the parameters that affect the fluid dynamics at the nanoscale and make flow analysis complex. These parameters accommodate rich, new flow phenomena that may not be observed at the macro- and microscale. Although not all of the new phenomena will find widespread applications, the physics underlying these new phenomena may offer insights for other fields. This is one of the reasons why this book emphasizes the mechanisms of various flow fashions. Explores the unique characteristics of nanoscale flows and related properties Reviews the latest research of nanoscale ion transport and its applications Discusses the fluid flows in nanoconfinements in a unique manner based on the author's original research Incorporates important applications of nanofluidics throughout.
Special Distillation Processes, Second Edition focuses on the latest developments in the field, such as separation methods that may prove useful for solving problems encountered during research. Topics include extraction, membrane and adsorption distillation involving the separation principle, process design and experimental techniques. The relationship between processes and techniques are also presented. Comprehensive and easy-to-read, this book provides key information needed to understand processes. It will be a valuable reference source for chemical engineers and students wishing to branch out in chemical engineering. - Provides the only comprehensive book available on special distillation processes - Contains a thorough introduction to recent developments in the field - Presents a valuable reference for students, academics and engineers in chemical engineering
Understand the energy storage technologies of the future with this groundbreaking guide Magnesium-based materials have revolutionary potential within the field of clean and renewable energy. Their suitability to act as battery and hydrogen storage materials has placed them at the forefront of the world#s most significant research and technological initiatives. It has never been more essential that professionals working in energy storage and energy systems understand these materials and their extraordinary potential applications. Magnesium-Based Energy Storage Materials and Systems provides a thorough introduction to advanced Magnesium (Mg)-based materials, including both Mg-based hydrogen storage and Mg-based batteries. Offering both foundational knowledge and practical applications, including step-by-step device design processes, it also highlights interactions between Mg-based and other materials. The result is an indispensable guide to a groundbreaking set of renewable energy resources. Magnesium-Based Energy Storage Materials and Systems readers will also find: In-depth analysis of the effects of employing catalysts, nano-structuring Magnesium-based materials, and many more subjects Detailed discussion of electrolyte, cathode, and anode materials for Magnesium batteries Snapshots of in-progress areas of research and development Magnesium-Based Energy Storage Materials and Systems is ideal for materials scientists, inorganic chemists, solid state chemists, electrochemists, and chemical engineers.
In reviewing the new round of state-owned enterprise (SOE) reforms characterized by mixed ownership since 2013 in China, this book systematically investigates the theoretical underpinnings, model options and approaches to implementation of SOE mixed-ownership reforms. SOE reforms have functioned as an integral part of China’s transformation to a market-oriented economy. Responding to the changing economic context and negative repercussions of earlier SOE reforms launched in the late 1990s, SOE mixed-ownership reforms encourage the participation of different types of capital and sounder management mechanisms. The author first reviews the impetus behind SOE mixed-ownership reforms and discusses how modern property rights theory and decentralized control theory perform as the theoretical underpinnings of the reforms. Based on cases of many completed SOE mixed-ownership reforms, the book summarizes and assesses the feasible models and implementation details of the reforms. It also examines how the reforms have impacted state-owned assets as well as executives’ compensation and incentives, both of which run parallel to the core reforms surrounding ownership. The book will appeal to professional readers studying entrepreneurial theory, corporate governance, China’s SOE reforms and Chinese business and the economy, as well as investors and policy makers interested in the Chinese market and Chinese enterprise reform.
This book describes the wave characteristics of contact lines taking wind into consideration and discusses new methods for detecting catenary geometry, pantograph slide fault, and catenary support system faults. It also introduces wire-irregularity detection methods for catenary estimation, and discusses modern spectrum estimation tools for catenary. It is organized in three parts: the first discusses statistical characteristics of pantograph-catenary data, such as stationarity, periodicity, correlation, high-order statistical properties and wave characteristics of contact lines, which are the basis of pantograph-catenary relationship analysis. The second part includes geometry parameter detection and support-system fault detection in catenary, as well as slide-fault detection in pantographs, and presents some new detection algorithms and plans. The final part addresses catenary estimation, including detection of contact-line wire irregularities and estimation of catenary based on spectrum, and presents detection methods for contact-line irregularity and modern spectrum estimation tools for catenary.
Metal Oxide Semiconductors Up-to-date resource highlighting highlights emerging applications of metal oxide semiconductors in various areas and current challenges and directions in commercialization Metal Oxide Semiconductors provides a current understanding of oxide semiconductors, covering fundamentals, synthesizing methods, and applications in diodes, thin-film transistors, gas sensors, solar cells, and more. The text presents state-of-the-art information along with fundamental prerequisites for understanding and discusses the current challenges in pursuing commercialization and future directions of this field. Despite rapid advancements in the materials science and device physics of oxide semiconductors over the past decade, the understanding of science and technology in this field remains incomplete due to its relatively short research history; this book aims to bridge the gap between the rapidly advancing research progress in this field and the demand for relevant materials and devices by researchers, engineers, and students. Written by three highly qualified authors, Metal Oxide Semiconductors discusses sample topics such as: Fabrication techniques and principles, covering vacuum-based methods, including sputtering, atomic layer deposition and evaporation, and solution-based methods Fundamentals, progresses, and potentials of p–n heterojunction diodes, Schottky diodes, metal-insulator-semiconductor diodes, and self-switching diodes Applications in thin-film transistors, detailing the current progresses and challenges towards commercialization for n-type TFTs, p-type TFTs, and circuits Detailed discussions on the working mechanisms and representative devices of oxide-based gas sensors, pressure sensors, and PH sensors Applications in optoelectronics, both in solar cells and ultraviolet photodetectors, covering their parameters, materials, and performance Memory applications, including resistive random-access memory, transistor-structured memory devices, transistor-structured artificial synapse, and optical memory transistors A comprehensive monograph covering all aspects of oxide semiconductors, Metal Oxide Semiconductors is an essential resource for materials scientists, electronics engineers, semiconductor physicists, and professionals in the semiconductor and sensor industries who wish to understand all modern developments that have been made in the field.
This book elaborates the corrosion testing and assessment methods for the aluminum alloy vessel in the service and internal environment. The emphasis is placed on the research of general materials corrosion characteristics, electrochemical protection design, surface protection, coating and painting, etc. This book helps readers to keep abreast of the whole technology system of the corrosion prevention and control of aluminum alloy vessel, especially the systematic engineering view of life cycle corrosion control for the vessel is of particular interest to readers.
This book provides a comprehensive overview of the development and status of fintech in China. Occupying core position in fintech development, big data takes on stronger superiority and application value. Meanwhile, blockchain and other technological innovations, which are used to serve data, greatly promote the growth of fintech industry. Furthermore, not only the benefits are illustrated by the authors, but also the financial risks and noise caused by fintech and big data are discussed. By using both academic knowledge and newest real cases in China, this timely book will appeal to practitioners, academics, and policy makers.
The motion of the train depends on the traction of linear motors in the vehicle. This book describes a number of essential technologies that can ensure the safe operation of Maglev trains, such as suspension and orientation technologies, network control and diagnosis technologies. This book is intended for researchers, scientists, engineers and graduate students involved in the rail transit industry, train control and diagnosis, and Maglev technology.
This SpringerBrief offers a comprehensive review and in-depth discussion of the current research on resource management. The authors explain how to best utilize harvested energy and temporally available licensed spectrum. Throughout the brief, the primary focus is energy and spectrum harvesting sensor networks (ESHNs) including energy harvesting (EH)-powered spectrum sensing and dynamic spectrum access. To efficiently collect data through the available licensed spectrum, this brief examines the joint management of energy and spectrum. An EH-powered spectrum sensing and management scheme for Heterogeneous Spectrum Harvesting Sensor Networks (HSHSNs) is presented in this brief. The scheme dynamically schedules the data sensing and spectrum access of sensors in ESHSNs to optimize the network utility, while considering the stochastic nature of EH process, PU activities and channel conditions. This brief also provides useful insights for the practical resource management scheme design for ESHSNs and motivates a new line of thinking for future sensor networking. Professionals, researchers, and advanced-level students in electrical or computer engineering will find the content valuable.
This book focuses on the deep learning technologies and their applications in the catenary detection of high-speed railways. As the only source of power for high-speed trains, the catenary's service performance directly affects the safe operation of high-speed railways. This book systematically shows the latest research results of catenary detection in high-speed railways, especially the detection of catenary support component defect and fault. Some methods or algorithms have been adopted in practical engineering. These methods or algorithms provide important references and help the researcher, scholar, and engineer on pantograph and catenary technology in high-speed railways. Unlike traditional detection methods of catenary support component based on image processing, some advanced methods in the deep learning field, including convolutional neural network, reinforcement learning, generative adversarial network, etc., are adopted and improved in this book. The main contents include the overview of catenary detection of electrified railways, the introduction of some advance of deep learning theories, catenary support components and their characteristics in high-speed railways, the image reprocessing of catenary support components, the positioning of catenary support components, the detection of defect and fault, the detection based on 3D point cloud, etc.
With the increasing penetration of renewable energy and distributed energy resources, smart grid is facing great challenges, which could be divided into two categories. On the one hand, the endogenous uncertainties of renewable energy and electricity load lead to great difficulties in smart grid forecast. On the other hand, massive electric devices as well as their complex constraint relationships bring about significant difficulties in smart grid dispatch. Owe to the rapid development of artificial intelligence in recent years, several artificial intelligence enabled computational methods have been successfully applied in the smart grid and achieved good performances. Therefore, this book is concerned with the research on the key issues of artificial intelligence enabled computational methods for smart grid forecast and dispatch, which consist of three main parts. (1) Introduction for smart grid forecast and dispatch, in inclusion of reviewing previous contribution of various research methods as well as their drawbacks to analyze characteristics of smart grid forecast and dispatch. (2) Artificial intelligence enabled computational methods for smart grid forecast problems, which are devoted to present the recent approaches of deep learning and machine learning as well as their successful applications in smart grid forecast. (3) Artificial intelligence enabled computational methods for smart grid dispatch problems, consisting of edge-cutting intelligent decision-making approaches, which help determine the optimal solution of smart grid dispatch. The book is useful for university researchers, engineers, and graduate students in electrical engineering and computer science who wish to learn the core principles, methods, algorithms, and applications of artificial intelligence enabled computational methods.
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