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Intelligent Paradigms for Smart Grid and Renewable Energy Systems, Vinoth Kumar B., Sivakumar P., Rajan Singaravel M. M.


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Автор: Vinoth Kumar B., Sivakumar P., Rajan Singaravel M. M.
Название:  Intelligent Paradigms for Smart Grid and Renewable Energy Systems
ISBN: 9789811599675
Издательство: Springer
Классификация:

ISBN-10: 981159967X
Обложка/Формат: Hardcover
Страницы: 390
Вес: 0.74 кг.
Дата издания: 31.01.2021
Язык: English
Размер: 23.39 x 15.60 x 2.39 cm
Ссылка на Издательство: Link
Поставляется из: Германии
Описание: This book addresses and disseminates state-of-the-art research and development in the applications of intelligent techniques for smart grids and renewable energy systems. The book solicits contributions from active researchers which include theory, case studies and intelligent paradigms pertaining to the smart grid and renewable energy systems.


Modeling and Simulation of Smart Grid Integrated with Hybrid Renewable Energy Systems

Автор: Mohamed Abdelaziz Mohamed; Ali Mohamed Eltamaly
Название: Modeling and Simulation of Smart Grid Integrated with Hybrid Renewable Energy Systems
ISBN: 3319647946 ISBN-13(EAN): 9783319647944
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book provides an excellent background to renewable energy sources, optimal sizing and locating of hybrid renewable energy sources, the best optimization methodologies for sizing and designing the components of hybrid renewable energy systems, and offers insights into using smart grid concepts in the system`s design and sizing.

Modeling and Simulation of Smart Grid Integrated with Hybrid Renewable Energy Systems

Автор: Mohamed Abdelaziz Mohamed; Ali Mohamed Eltamaly
Название: Modeling and Simulation of Smart Grid Integrated with Hybrid Renewable Energy Systems
ISBN: 3319878743 ISBN-13(EAN): 9783319878744
Издательство: Springer
Рейтинг:
Цена: 16769.00 р.
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Описание: This book presents a comprehensive definition of smart grids and their benefits, and compares smart and traditional grids. It also introduces a design methodology for stand-alone hybrid renewable energy system with and without applying the smart grid concepts for comparison purposes. It discusses using renewable energy power plants to feed loads in remote areas as well as in central power plants connected to electric utilities. Smart grid concepts used in the design of the hybrid renewable power systems can reduce the size of components, which can be translated to a reduction in the cost of generated energy. The proposed hybrid renewable energy system includes wind, photovoltaic, battery, and diesel, and is used initially to feed certain loads, covering the load required completely. The book introduces a novel methodology taking the smart grid concept into account by dividing the loads into high and low priority parts. The high priority part should be supplied at any generated conditions. However, the low priority loads can be shifted to the time when the generated energy from renewable energy sources is greater than the high priority loads requirements. The results show that the use of this smart grid concept reduces the component size and the cost of generated energy compared to that without dividing the loads. The book also describes the use of smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) to optimally design the hybrid renewable energy system.  This book provides an excellent background to renewable energy sources, optimal sizing and locating of hybrid renewable energy sources, the best optimization methodologies for sizing and designing the components of hybrid renewable energy systems, and offers insights into using smart grid concepts in the system’s design and sizing.  It also helps readers understand the dispatch methodology and how to connect the system’s different components, their modeling, and the cost analysis of the system.

Research Advancements in Smart Technology, Optimization, and Renewable Energy

Автор: Gerhard Weber, Pandian Vasant, Wonsiri Punurai
Название: Research Advancements in Smart Technology, Optimization, and Renewable Energy
ISBN: 1799850390 ISBN-13(EAN): 9781799850397
Издательство: Mare Nostrum (Eurospan)
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Цена: 22869.00 р.
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Описание: As environmental issues remain at the forefront of energy research, renewable energy is now an all-important field of study. And as smart technology continues to grow and be refined, its applications broaden and increase in their potential to revolutionize sustainability studies. This potential can only be fully realized with a thorough understanding of the most recent breakthroughs in the field.

Research Advancements in Smart Technology, Optimization, and Renewable Energy is a collection of innovative research that explores the recent steps forward for smart applications in sustainability. Featuring coverage on a wide range of topics including energy assessment, neural fuzzy control, and biogeography, this book is ideally designed for advocates, policymakers, engineers, software developers, academicians, researchers, and students.

Research Advancements in Smart Technology, Optimization, and Renewable Energy

Автор: Gerhard Weber, Pandian Vasant, Wonsiri Punurai
Название: Research Advancements in Smart Technology, Optimization, and Renewable Energy
ISBN: 1799839702 ISBN-13(EAN): 9781799839705
Издательство: Mare Nostrum (Eurospan)
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Цена: 30215.00 р.
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Описание: As environmental issues remain at the forefront of energy research, renewable energy is now an all-important field of study. And as smart technology continues to grow and be refined, its applications broaden and increase in their potential to revolutionize sustainability studies. This potential can only be fully realized with a thorough understanding of the most recent breakthroughs in the field.

Research Advancements in Smart Technology, Optimization, and Renewable Energy is a collection of innovative research that explores the recent steps forward for smart applications in sustainability. Featuring coverage on a wide range of topics including energy assessment, neural fuzzy control, and biogeography, this book is ideally designed for advocates, policymakers, engineers, software developers, academicians, researchers, and students.

Convex Optimization of Power Systems

Автор: Joshua Adam Taylor
Название: Convex Optimization of Power Systems
ISBN: 1107076870 ISBN-13(EAN): 9781107076877
Издательство: Cambridge Academ
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Цена: 12038.00 р.
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Описание: This mathematically rigorous guide to convex optimization for power systems engineering includes convex models for a variety of real-world applications, and a selection of problems and practical examples. An invaluable resource for students and researchers from industry and academia in power systems, optimization, and control.

Application of Geographical Information Systems and Soft Computation Techniques in Water and Water Based Renewable Energy Problems

Автор: Mrinmoy Majumder
Название: Application of Geographical Information Systems and Soft Computation Techniques in Water and Water Based Renewable Energy Problems
ISBN: 9811062048 ISBN-13(EAN): 9789811062049
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book highlights the application of Geographical Information System (GIS) and nature based algorithms to solve the problems of water and water based renewable energy resources.

Intelligent Automation in Renewable Energy

Автор: Tetyana Baydyk; Ernst Kussul; Donald C. Wunsch II
Название: Intelligent Automation in Renewable Energy
ISBN: 3030022358 ISBN-13(EAN): 9783030022358
Издательство: Springer
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Цена: 18167.00 р.
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Описание: After an introduction to renewable energy technologies, the authors present computational intelligence techniques for optimizing the manufacture of related technologies, including solar concentrators. In particular the authors present new applications for their neural classifiers for image and pattern recognition.The book will be of interest to researchers in computational intelligence, in particular in the domain of neural networks, and engineers engaged with renewable energy technologies.

Hybrid Renewable Energy Systems and Microgrids

Название: Hybrid Renewable Energy Systems and Microgrids
ISBN: 0128217243 ISBN-13(EAN): 9780128217245
Издательство: Elsevier Science
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Цена: 21728.00 р.
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Описание:

Hybrid Renewable Energy Systems and Microgrids covers the modeling and analysis for each type of integrated and operational hybrid energy system. Looking at the fundamentals for conventional energy systems, decentralized generation systems, RES technologies and hybrid integration of RES power plants, the most important contribution this book makes is combining emerging energy systems that improve micro and smart grid systems and their components. Sections cover traditional system characteristics, features, challenges and benefits of hybrid energy systems over the conventional power grid, the deployment of emerging power electronic technologies, and up-to-date electronic devices and systems, including AC and DC waveforms.

Conventional, emerging and hierarchical control methods and technologies applied in microgrid operations are covered to give researchers and practitioners the information needed to ensure reliability, resilience and flexibility of implemented hybrid energy systems.

Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems

Автор: Tsihrintzis George A., Virvou Maria, Sakkopoulos Evangelos
Название: Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems
ISBN: 3030156273 ISBN-13(EAN): 9783030156275
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
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Описание: This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems and related technologies. These disciplines are strongly related and mutually complementary; accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation. To maximize the dissemination of research findings, the series will publish edited books, monographs, handbooks, textbooks and conference proceedings. This book is intended for professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter allows readers to probe further into those application areas that interest them most.

Intelligent Decision Support Systems for Sustainable Computing: Paradigms and Applications

Автор: Sangaiah Arun Kumar, Abraham Ajith, Siarry Patrick
Название: Intelligent Decision Support Systems for Sustainable Computing: Paradigms and Applications
ISBN: 3319850784 ISBN-13(EAN): 9783319850788
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
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Описание: Intelligent Decision Support Systems for Sustainable Computing.- A Genetic Algorithm based Efficient Load Distribution Strategy for Handling Large Scale Workloads on Sustainable Computing Systems.- Efficiency in Energy Decision Support Systems using Soft Computing Techniques.- Computational Intelligence Based Heuristic Approach for Maximizing Energy Efficiency in Internet of Things.- Distributed Algorithm with Inherent Intelligence for Multi-Cloud Resource Provisioning.- Parameter Optimization methods based on Computational Intelligence Techniques in Context of Sustainable Computing.- The Maximum Power Point tracking using Fuzzy Logic Algorithm for DC Motor based Conveyor System.- Differential Evolution Based Significant Data Region Identification on Large Storage Drives.- A Fuzzy Based Power Switching Selection for Residential Application to beat Peak Time Power Demand.- Energy Saving Using Memorization: A Novel Energy-Efficient and Fault Tolerant Algorithm.- Analyzing Slavic Textual Sentiment using Deep Convolutional Neural Networks.- Intelligent Decision Support System for an Integrated Pest Management in Apple Orchard.- Analysis of Error Propagation in Safety Critical Software Systems: An Approach based on UGF.- A Framework for Analyzing Uncertainty in Data using Computational Intelligence Techniques.-

Renewable energy systems :

Автор: Perelmuter, V. M.
Название: Renewable energy systems :
ISBN: 149876598X ISBN-13(EAN): 9781498765985
Издательство: Taylor&Francis
Рейтинг:
Цена: 21437.00 р.
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Описание: The development of renewable sources for electrical energy has become a mainstream focus in the field of electrical engineering. This book can be used by both engineers and researchers working to develop new electrical systems and investigate existing ones. Additionally, it can serve as a guide for undergraduate and graduate students during their study of electrical fields. The electrical devices that are used in renewable sources have complicated inner structures, and methods of computer simulation make the development of these systems easier and faster. Simulink, and its toolbox SimPowerSystems, is the most popular means for simulation of electrical systems. The topic of wind-generator (WG) systems simulation merits detailed consideration; therefore, this text covers an in-depth exploration of the simulation of WG systems, systems with batteries, photovoltaic systems, fuel elements, microturbines, and hydroelectric systems.

Intelligent Renewable Energy Systems

Автор: Rigatos
Название: Intelligent Renewable Energy Systems
ISBN: 3319391542 ISBN-13(EAN): 9783319391540
Издательство: Springer
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Цена: 26122.00 р.
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Описание:

Focused on renewable energy systems and the development of information and communication technologies (ICTs) for their integration in smart grids, this book presents recent advances and methods that help to ensure that power generation from renewable sources remains stable, that power losses are minimized, and that the reliable functioning of these power generation units is maintained.
The book highlights key topics and technologies for renewable energy systems including the intelligent control of power generators, power electronics that connect renewable power generation units to the grid, and fault diagnosis for power generators and power electronics. In particular, the following topics are addressed:
• Modeling and control of power generators (PMSGs, DFIGs);
• Modeling and control of power electronics (converters, inverters);
• Modeling and fault diagnosis of the transmission and distribution Grid; and
• Modelling and control of distributed power generation units (interconnected synchronous generators or photovoltaic units).
Because of the above coverage, members of the wider engineering community will find that the nonlinear control and estimation methods presented provide essential insights into the functioning of renewable energy power systems, while the academic community will find the book a valuable textbook for undergraduate or graduate courses on renewable energy systems.

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