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1000 tulosta hakusanalla Kai Long

Offshore Wind Turbine Technology

Offshore Wind Turbine Technology

MingWei Ge; Li Li; Hang Meng; Kai Long

Springer Nature Switzerland AG
2025
sidottu
This book provides a comprehensive overview of the development and challenges of offshore wind power generation. It emphasizes the significance of wind energy as a crucial element in China's energy transformation and its contribution to achieving the country's carbon peak and carbon neutrality targets. The book begins by introducing the current status of offshore wind power, highlighting its global expansion and China's leading position in installed capacity. It explores the complexities and unique environmental conditions associated with offshore wind farms, including the challenging construction and maintenance processes. The authors address the limitations of offshore wind resources, such as lower average wind speeds and extreme wind conditions, as well as the reliability issues of key components, resulting in higher electricity costs.With a focus on offshore wind turbine technology, the book covers various aspects, including design, structural foundations, construction techniques, operation, and maintenance. It delves into the coupling effects of wind and waves in the offshore environment and discusses the geological considerations specific to offshore wind farms. The book also touches upon industry standards, certifications, and the influence of offshore wind farms on marine ecosystems. This book serves as a valuable reference for engineering students specializing in offshore wind turbine technology and graduate researchers exploring this field. Moreover, it provides practical insights for professionals working in the wind energy industry. Selected sections of the book are also suitable for general readers interested in gaining knowledge about offshore wind power.
Graph Neural Networks for Natural Language Processing

Graph Neural Networks for Natural Language Processing

Lingfei Wu; Yu Chen; Kai Shen; Xiaojie Guo; Hanning Gao; Shucheng Li; Jian Pei; Bo Long

Now Publishers Inc
2023
nidottu
Deep learning has become the dominant approach in addressing various tasks in Natural Language Processing (NLP). Although text inputs are typically represented as a sequence of tokens, there is a rich variety of NLP problems that can be best expressed with a graph structure. As a result, there is a surge of interest in developing new deep learning techniques on graphs for a large number of NLP tasks. In this monograph, the authors present a comprehensive overview on Graph Neural Networks (GNNs) for Natural Language Processing. They propose a new taxonomy of GNNs for NLP, which systematically organizes existing research of GNNs for NLP along three axes: graph construction, graph representation learning, and graph based encoder-decoder models. They further introduce a large number of NLP applications that exploits the power of GNNs and summarize the corresponding benchmark datasets, evaluation metrics, and open-source codes. Finally, they discuss various outstanding challenges for making the full use of GNNs for NLP as well as future research directions. This is the first comprehensive overview of Graph Neural Networks for Natural Language Processing. It provides students and researchers with a concise and accessible resource to quickly get up to speed with an important area of machine learning research.
Lawless: Manlove Edition

Lawless: Manlove Edition

L. J. Longo; Kai Tyler; Jessie Pinkham

Evernight Publishing
2017
nidottu
Meet the hardcore heroes of LAWLESS They're fearless, dangerous, big on revenge, and defiantly walk on the wrong side of the law. Although their morals may be compromised, their loyalty to that one man is never in question. Our five hand-picked novellas are dark, dirty, and will make you see bad boys in a whole new light. From bikers to hitmen, these dangerous men won't be satisfied until they have everything they came for-until they have him.
State Estimation Strategies in Lithium-ion Battery Management Systems

State Estimation Strategies in Lithium-ion Battery Management Systems

Kailong Liu; Yujie Wang; Daniel-Ioan Stroe; Carlos Fernandez; Josep M. Guerrero; Shunli Wang

Elsevier - Health Sciences Division
2023
nidottu
State Estimation Strategies in Lithium-ion Battery Management Systems presents key technologies and methodologies in modeling and monitoring charge, energy, power and health of lithium-ion batteries. Sections introduce core state parameters of the lithium-ion battery, reviewing existing research and the significance of the prediction of core state parameters of the lithium-ion battery and analyzing the advantages and disadvantages of prediction methods of core state parameters. Characteristic analysis and aging characteristics are then discussed. Subsequent chapters elaborate, in detail, on modeling and parameter identification methods and advanced estimation techniques in different application scenarios. Offering a systematic approach supported by examples, process diagrams, flowcharts, algorithms, and other visual elements, this book is of interest to researchers, advanced students and scientists in energy storage, control, automation, electrical engineering, power systems, materials science and chemical engineering, as well as to engineers, R&D professionals, and other industry personnel.
Data Science-Based Full-Lifespan Management of Lithium-Ion Battery

Data Science-Based Full-Lifespan Management of Lithium-Ion Battery

Kailong Liu; Yujie Wang; Xin Lai

Springer International Publishing AG
2022
sidottu
This open access book comprehensively consolidates studies in the rapidly emerging field of battery management. The primary focus is to overview the new and emerging data science technologies for full-lifespan management of Li-ion batteries, which are categorized into three groups, namely (i) battery manufacturing management, (ii) battery operation management, and (iii) battery reutilization management. The key challenges, future trends as well as promising data-science technologies to further improve this research field are discussed. As battery full-lifespan (manufacturing, operation, and reutilization) management is a hot research topic in both energy and AI fields and none specific book has focused on systematically describing this particular from a data science perspective before, this book can attract the attention of academics, scientists, engineers, and practitioners. It is useful as a reference book for students and graduates working in related fields. Specifically, the audience could not only get the basics of battery manufacturing, operation, and reutilization but also the information of related data-science technologies. The step-by-step guidance, comprehensive introduction, and case studies to the topic make it accessible to audiences of different levels, from graduates to experienced engineers.
Data Science-Based Full-Lifespan Management of Lithium-Ion Battery

Data Science-Based Full-Lifespan Management of Lithium-Ion Battery

Kailong Liu; Yujie Wang; Xin Lai

Springer International Publishing AG
2022
nidottu
This open access book comprehensively consolidates studies in the rapidly emerging field of battery management. The primary focus is to overview the new and emerging data science technologies for full-lifespan management of Li-ion batteries, which are categorized into three groups, namely (i) battery manufacturing management, (ii) battery operation management, and (iii) battery reutilization management. The key challenges, future trends as well as promising data-science technologies to further improve this research field are discussed. As battery full-lifespan (manufacturing, operation, and reutilization) management is a hot research topic in both energy and AI fields and none specific book has focused on systematically describing this particular from a data science perspective before, this book can attract the attention of academics, scientists, engineers, and practitioners. It is useful as a reference book for students and graduates working in related fields. Specifically, the audience could not only get the basics of battery manufacturing, operation, and reutilization but also the information of related data-science technologies. The step-by-step guidance, comprehensive introduction, and case studies to the topic make it accessible to audiences of different levels, from graduates to experienced engineers.
Multidimensional Lithium-Ion Battery Status Monitoring

Multidimensional Lithium-Ion Battery Status Monitoring

Shunli Wang; Kailong Liu; Yujie Wang; Daniel-Ioan Stroe; Carlos Fernandez; Josep M Guerrero

TAYLOR FRANCIS LTD
2022
sidottu
Multidimensional Lithium-Ion Battery Status Monitoring focuses on equivalent circuit modeling, parameter identification, and state estimation in lithium-ion battery power applications. It explores the requirements of high-power lithium-ion batteries for new energy vehicles and systematically describes the key technologies in core state estimation based on battery equivalent modeling and parameter identification methods of lithium-ion batteries, providing a technical reference for the design and application of power lithium-ion battery management systems. Reviews Li-ion battery characteristics and applications. Covers battery equivalent modeling, including electrical circuit modeling and parameter identification theory Discusses battery state estimation methods, including state of charge estimation, state of energy prediction, state of power evaluation, state of health estimation, and cycle life estimation Introduces equivalent modeling and state estimation algorithms that can be applied to new energy measurement and control in large-scale energy storage Includes a large number of examples and case studies This book has been developed as a reference for researchers and advanced students in energy and electrical engineering.
Multidimensional Lithium-Ion Battery Status Monitoring

Multidimensional Lithium-Ion Battery Status Monitoring

Shunli Wang; Kailong Liu; Yujie Wang; Daniel-Ioan Stroe; Carlos Fernandez; Josep M Guerrero

TAYLOR FRANCIS LTD
2024
nidottu
Multidimensional Lithium-Ion Battery Status Monitoring focuses on equivalent circuit modeling, parameter identification, and state estimation in lithium-ion battery power applications. It explores the requirements of high-power lithium-ion batteries for new energy vehicles and systematically describes the key technologies in core state estimation based on battery equivalent modeling and parameter identification methods of lithium-ion batteries, providing a technical reference for the design and application of power lithium-ion battery management systems. Reviews Li-ion battery characteristics and applications. Covers battery equivalent modeling, including electrical circuit modeling and parameter identification theory Discusses battery state estimation methods, including state of charge estimation, state of energy prediction, state of power evaluation, state of health estimation, and cycle life estimation Introduces equivalent modeling and state estimation algorithms that can be applied to new energy measurement and control in large-scale energy storage Includes a large number of examples and case studies This book has been developed as a reference for researchers and advanced students in energy and electrical engineering.
AI for Status Monitoring of Utility Scale Batteries

AI for Status Monitoring of Utility Scale Batteries

Shunli Wang; Kailong Liu; Yujie Wang; Daniel-Ioan Stroe; Carlos Fernandez; Josep M. Guerrero

INSTITUTION OF ENGINEERING AND TECHNOLOGY
2023
sidottu
Batteries are a necessary part of a low-emission energy system, as they can store renewable electricity and assist the grid. Utility-scale batteries, with capacities of several to hundreds of MWh, are particularly important for condominiums, local grid nodes, and EV charging arrays. However, such batteries are expensive and need to be monitored and managed well to maintain capacity and reliability. Artificial intelligence offers a solution for effective monitoring and management of utility-scale batteries. This book systematically describes AI-based technologies for battery state estimation and modeling for utility-scale Li-ion batteries. Chapters cover utility-scale lithium-ion battery system characteristics, AI-based equivalent modeling, parameter identification, state of charge estimation, battery parameter estimation, offer samples and case studies for utility-scale battery operation, and conclude with a summary and prospect for AI-based battery status monitoring. The book provides practical references for the design and application of large-scale lithium-ion battery systems. AI for Status Monitoring of Utility-Scale Batteries is an invaluable resource for researchers in battery R&D, including battery management systems and related power electronics, battery manufacturers, and advanced students.
Kai

Kai

Derek Vasconi

Derek Vasconi
2015
nidottu
Winner of the National Indie Excellence Award for Best Horror Book of 2016 Winner of the Indie Reader Discovery Award for Best Horror Book of 2016 WINNER OF THE 2016 JACK EADON AWARD FOR BEST BOOK IN A CONTEMPORARY DRAMA ONE OF THE TOP 100 NOTABLE BOOKS IN THE 2016 SHELF UNBOUND BEST INDIE BOOK COMPETITION Finalist for the 2016 Eric Hoffer AwardFinalist for the 2016 Kindle Book Review AwardFINALIST FOR THE 2106 FOREWORD INDIES BEST HORROR BOOKJapanese horror? Check.The bastard child of Haruki Murakami's 1Q84 and Stephen King's CARRIE, KAI explores how one innocent girl becomes the target of enormous rage living inside another girl-who is seemingly from another world.Satsuki Takamoto is an invisible otaku teenager in Hiroshima. The only thing she has going for her is the upcoming birth of her sister. No longer will she be alone. But after tragedy strikes her family, Satsuki loses her one chance at happiness. She spirals into a deep depression, shutting out everyone and everything by locking herself inside her bedroom-for good. Her sadness, however, pales in comparison to her uncontrollable anger. It spreads like a nuclear fire, ambivalent to what or who it destroys, and won't stop until Satsuki accepts her sister's death.Meanwhile, on the other side of the world in Evanston, Illinois, Seul Bi Rissiello can't sleep because every time she closes her eyes, she relives her adoptive parents' gruesome deaths. Why is she thinking so much about them now, ten years afterward? As she struggles with working at a clinic for the mentally disturbed, Seul Bi starts to unravel under the weight of living a lonely life and being twice an orphan. Her life devolves into a series of ominous and dangerous hallucinations that threaten not only her sanity, but her very existence as well. As both girls struggle to understand what is happening to them, their enigmatic connection comes into focus, raising the question: What if all the suffering in your life was carefully choreographed by somebody you've never met?Japanese horror novels are few and far between these days, but this is a true standout even among all other Asian horror novels. A must read for anybody who enjoys Japanese culture and the dark stories about Japan.
Kai

Kai

N Gray

Vinci Books
2025
pokkari
When fate binds two souls, love knows no boundaries. I never believed in destiny until his touch ignited something primal within me. One moment with Kai shattered everything I thought I knew about love. But in our world, some connections are forbidden. My father's hatred for shifters runs deep, and the shadows hold dangers neither of us anticipated. Now, with forces determined to tear us apart and an injury that threatens everything we hold dear, we face an impossible choice. Our hearts demand we fight, but at what cost? Together, we must decide if our love is worth defying not just my father but the very laws of nature itself. Dive into this steamy, high-stakes paranormal romance where love defies all odds and boundaries are meant to be broken. ___________________________________________________________________ Praise for the Shifter Days, Vampire Nights & Demons in Between series: ? ? ? ? ? I immediately fell in love. ? ? ? ? ? Read the story and let it blow you away... ? ? ? ? ? Cannot fault anything. ? ? ? ? ? This is highly refreshing. ? ? ? ? ? Some fast paced action.
Kai!

Kai!

Jodde Maree

Lulu.com
2015
nidottu
an orchard of your perfume runs along my skin, you blow yourself from the palm of a hand into the air and it's goodbye again ~Jodde Maree