Data Science And Applications For Modern Power Systems
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Data Science And Applications For Modern Power Systems
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Author : Le Xie
language : en
Publisher: Springer Nature
Release Date : 2023-06-20
Data Science And Applications For Modern Power Systems written by Le Xie and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-20 with Technology & Engineering categories.
This book offers a comprehensive collection of research articles that utilize data—in particular large data sets—in modern power systems operation and planning. As the power industry moves towards actively utilizing distributed resources with advanced technologies and incentives, it is becoming increasingly important to benefit from the available heterogeneous data sets for improved decision-making. The authors present a first-of-its-kind comprehensive review of big data opportunities and challenges in the smart grid industry. This book provides succinct and useful theory, practical algorithms, and case studies to improve power grid operations and planning utilizing big data, making it a useful graduate-level reference for students, faculty, and practitioners on the future grid.
Control Applications In Modern Power System
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Author : Arun Kumar Singh
language : en
Publisher: Springer Nature
Release Date : 2020-11-26
Control Applications In Modern Power System written by Arun Kumar Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-26 with Technology & Engineering categories.
This book presents select proceedings of the Electric Power and Renewable Energy Conference 2020 (EPREC 2020). This book provides rigorous discussions, case studies, and recent developments in emerging areas of control systems, especially, load frequency control, wide-area monitoring, control & instrumentation, optimization, intelligent control, energy management system, SCADA systems, etc. The contents of this book will be useful to researchers and professionals interested in control theory and its applications to power grids and systems. The book can also be used by policy makers and power engineers involved in power generation and distribution.
Control Applications In Modern Power Systems
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Author : Jitendra Kumar
language : en
Publisher: Springer Nature
Release Date : 2022-05-27
Control Applications In Modern Power Systems written by Jitendra Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-27 with Technology & Engineering categories.
The volume contains peer-reviewed proceedings of EPREC 2021 with a focus on control applications in the modern power system. The book includes original research and case studies that present recent developments in the control system, especially load frequency control, wide-area monitoring, control & instrumentation, optimization, intelligent control, energy management system, SCADA systems, etc. The book will be a valuable reference guide for beginners, researchers, and professionals interested in advancements in the control system.
Protection Of Modern Power Systems
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Author : Janaka B. Ekanayake
language : en
Publisher: John Wiley & Sons
Release Date : 2023-06-12
Protection Of Modern Power Systems written by Janaka B. Ekanayake and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-12 with Science categories.
Protection of Modern Power Systems Familiarize yourself with the cutting edge of power system protection technology All electrical systems are vulnerable to faults, whether produced by damaged equipment or the cumulative breakdown of insulation. Protection from these faults is therefore an essential part of electrical engineering, and the various forms of protection that have developed constitute a central component of any course of study related to power systems. Particularly in recent decades, however, the demands of decarbonization and reduced dependency on fossil fuels have driven innovation in the field of power systems. With new systems and paradigms come new kinds of faults and new protection needs, which promise to place power systems protection once again at the forefront of research and development. Protection of Modern Power Systems offers the first classroom-ready textbook to fully incorporate developments in renewable energy and ‘smart’ power systems into its overview of the field. It begins with a comprehensive guide to the principles of power system protection, before surveying the systems and equipment used in modern protection schemes, and finally discussing new and emerging protection paradigms. It promises to become the standard text in power system protection classrooms. Protection of Modern Power Systems readers will also find: Treatment of the new faults and protection paradigms produced by the introduction of new renewable generators Discussion of SmartGrids—intelligently-controlled active systems designed to integrate renewable energy into the power system—and their protection needs Detailed exploration of Synchronized Measurement Technology and Intelligent Electronic Devices Accompanying website to include Solutions Manual for instructors Protection of Modern Power Systems is an essential resource for students, researchers, and system engineers looking for a working knowledge of this critical subject.
Machine Learning And Knowledge Discovery In Databases Applied Data Science Track
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Author : Albert Bifet
language : en
Publisher: Springer Nature
Release Date : 2024-09-01
Machine Learning And Knowledge Discovery In Databases Applied Data Science Track written by Albert Bifet and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-01 with Computers categories.
This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, Lithuania, in September 2024. The papers presented in these proceedings are from the following three conference tracks: - Research Track: The 202 full papers presented here, from this track, were carefully reviewed and selected from 826 submissions. These papers are present in the following volumes: Part I, II, III, IV, V, VI, VII, VIII. Demo Track: The 14 papers presented here, from this track, were selected from 30 submissions. These papers are present in the following volume: Part VIII. Applied Data Science Track: The 56 full papers presented here, from this track, were carefully reviewed and selected from 224 submissions. These papers are present in the following volumes: Part IX and Part X.
Artificial Intelligence In The Operation And Control Of Digitalized Power Systems
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Author : Sasan Azad
language : en
Publisher: Springer Nature
Release Date : 2024-11-15
Artificial Intelligence In The Operation And Control Of Digitalized Power Systems written by Sasan Azad and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-15 with Technology & Engineering categories.
This book covers the practical application of AI-based methods in modern power systems. The complexity of current power system operations has dramatically increased due to the higher penetration of renewable energy sources and power electronic components. Therefore, providing efficient techniques is essential for secure and clean power system operation. This book focuses on the data-driven operation of the digitalized power system using machine language (ML). First, the basics of power system operation and control are presented, covering various areas of system control and operation. Next, significant advances in modern power systems and their corresponding challenges are discussed, and artificial intelligence (AI)-powered techniques, specifically machine learning, are introduced to address these issues. The book also explores AI-powered applications in the operation of power systems. These applications include various aspects of the data-driven process in both situational awareness and control areas. They are presented as practical examples indicating the implementation of an ML-based method to solve operational problems. Artificial Intelligence in the Operation and Control of Digitalized Power Systems is a valuable guide for students, researchers, and practicing engineers to AI-based techniques and real-world applications in power systems.
Advanced Data Analytics For Power Systems
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Author : Ali Tajer
language : en
Publisher: Cambridge University Press
Release Date : 2021-04-08
Advanced Data Analytics For Power Systems written by Ali Tajer and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-08 with Computers categories.
Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and applications related to power system reliability, efficiency, and security. With topics spanning large-scale and distributed optimization, statistical learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and industry with backgrounds in power systems engineering, applied mathematics, and computer science.
Modern Power System Analysis
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Author : Chee-Wooi Ten
language : en
Publisher: CRC Press
Release Date : 2024-03-18
Modern Power System Analysis written by Chee-Wooi Ten and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-18 with Technology & Engineering categories.
Step into the captivating world of power systems with Modern Power System Analysis, Third Edition by acclaimed author Turan Gönen, and revised and updated by Chee-Wooi Ten and Yunhe Hou. This illuminating book offers a comprehensive examination of power system analysis. Whether you're a curious non-specialist, a voracious reader seeking knowledge, or a librarian or bookseller searching for a valuable resource, Gönen's masterpiece is sure to captivate you. This book is an excellent source to begin your journey. An in-depth understanding of the concepts and techniques involved in power system analysis is provided in this comprehensive guide. The book covers a wide range of topics, including fundamental modeling of power transmission networks, power flow analysis, and fault analysis. Gönen elucidates the mathematical foundations and computational methods necessary for analyzing and optimizing power systems. Readers will gain insights into advanced topics such as power system harmonics, transient stability, and power system protection. Furthermore, the book explores emerging areas like renewable energy integration, smart grid technologies, and the application of artificial intelligence in power system analysis. Gönen's meticulous approach combines theoretical explanations, practical examples, and real-world case studies to provide readers with a comprehensive and up-to-date resource. With its focus on modern techniques and advancements, this book is an invaluable reference for engineers, researchers, and students venturing into the exciting realm of power system analysis. The text also includes a new chapter on power system restoration, which reviews methodologies corresponding to different utilities and practices. A cutting-edge compilation of the latest developments in power system analysis is presented in this book. While the challenges and issues have evolved, the text emphasizes the enduring importance of classical methods as the foundation for understanding. It integrates today's advancements and addresses contemporary issues, and provides readers with a comprehensive grasp of the most current techniques and approaches for analyzing, optimizing, and managing complex power systems. With practical examples, real-world case studies, and a strong focus on emerging areas like renewable energy integration and smart grids, this invaluable resource empowers engineers, researchers, and students to navigate the dynamic landscape of modern power system analysis confidently.
Radiomics And Radiogenomics In Neuro Oncology
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Author : Sanjay Saxena
language : en
Publisher: Elsevier
Release Date : 2024-03-29
Radiomics And Radiogenomics In Neuro Oncology written by Sanjay Saxena and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-29 with Medical categories.
Neuro-oncology broadly encompasses life-threatening brain and spinal cord malignancies, including primary lesions and lesions metastasizing to the central nervous system. It is well suited for diagnosis, classification, and prognosis as well as assessing treatment response. Radiomics and Radiogenomics (R-n-R) have become two central pillars in precision medicine for neuro-oncology.Radiomics is an approach to medical imaging used to extract many quantitative imaging features using different data characterization algorithms, while Radiogenomics, which has recently emerged as a novel mechanism in neuro-oncology research, focuses on the relationship of imaging phenotype and genetics of cancer. Due to the exponential progress of different computational algorithms, AI methods are composed to advance the precision of diagnostic and therapeutic approaches in neuro-oncology.The field of radiomics has been and definitely will remain at the lead of this emerging discipline due to its efficiency in the field of neuro-oncology. Several AI approaches applied to conventional and advanced medical imaging data from the perspective of radiomics are very efficient for tasks such as survival prediction, heterogeneity analysis of cancer, pseudo progression analysis, and infiltrating tumors. Radiogenomics advances our understanding and knowledge of cancer biology, letting noninvasive sampling of the molecular atmosphere with high spatial resolution along with a systems-level understanding of causal heterogeneous molecular and cellular processes. These AI-based R-n-R tools have the potential to stratify patients into more precise initial diagnostic and therapeutic pathways and permit better dynamic treatment monitoring in this period of personalized medicine. While extremely promising, the clinical acceptance of R-n-R methods and approaches will primarily hinge on their resilience to non-standardization across imaging protocols and their capability to show reproducibility across large multi-institutional cohorts.Radiomics and Radiogenomics in Neuro-Oncology: An Artificial Intelligence Paradigm provides readers with a broad and detailed framework for R-n-R approaches with AI in neuro-oncology, the description of cancer biology and genomics study of cancer, and the methods usually implemented for analyzing. Readers will also learn about the current solutions R-n-R can offer for personalized treatments of patients, limitations, and prospects. There is comprehensive coverage of information based on radiomics, radiogenomics, cancer biology, and medical image analysis viewpoints on neuro-oncology, so this in-depth coverage is divided into two Volumes.Volume 1: Radiogenomics Flow Using Artificial Intelligence provides coverage of genomics and molecular study of brain cancer, medical imaging modalities and analysis in neuro-oncology, and prognostic and predictive models using radiomics.Volume 2: Genetics and Clinical Applications provides coverage of imaging signatures for brain cancer molecular characteristics, clinical applications of R-n-R in neuro-oncology, and Machine Learning and Deep Learning AI approaches for R-n-R in neuro-oncology. - Includes coverage on the foundational concepts of the emerging fields of radiomics and radiogenomics - Covers neural engineering modeling and AI algorithms for the imaging, diagnosis, and predictive modeling of neuro-oncology - Presents crucial technologies and software platforms, along with advanced brain imaging techniques such as quantitative imaging using CT, PET, and MRI - Provides in-depth technical coverage of computational modeling techniques and applied mathematics for brain tumor segmentation and radiomics features such as extraction and selection
Big Data Application In Power Systems
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Author : Reza Arghandeh
language : en
Publisher: Elsevier
Release Date : 2024-07-01
Big Data Application In Power Systems written by Reza Arghandeh and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-01 with Technology & Engineering categories.
Big Data Application in Power Systems, Second Edition presents a thorough update of the previous volume, providing readers with step-by-step guidance in big data analytics utilization for power system diagnostics, operation, and control. Bringing back a team of global experts and drawing on fresh, emerging perspectives, this book provides cutting-edge advice for meeting today's challenges in this rapidly accelerating area of power engineering. Divided into three parts, this book begins by breaking down the big picture for electric utilities, before zooming in to examine theoretical problems and solutions in detail. Finally, the third section provides case studies and applications, demonstrating solution troubleshooting and design from a variety of perspectives and for a range of technologies. Readers will develop new strategies and techniques for leveraging data towards real-world outcomes. Including five brand new chapters on emerging technological solutions, Big Data Application in Power Systems, Second Edition remains an essential resource for the reader aiming to utilize the potential of big data in the power systems of the future. - Provides a total refresh to include the most up-to-date research, developments, and challenges - Focuses on practical techniques, including rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches for processing high dimensional, heterogeneous, and spatiotemporal data - Engages with cross-disciplinary lessons, drawing on the impact of intersectional technology including statistics, computer science, and bioinformatics - Includes five brand new chapters on hot topics, ranging from uncertainty decision-making to features, selection methods, and the opportunities provided by social network data