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Author: Mohammadreza Daneshvar
Publisher: Elsevier
ISBN: 0323957803
Category : Technology & Engineering
Languages : en
Pages : 191
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Book Description
IoT-Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks proposes practical solutions for the management and control of energy interactions throughout the interconnected energy infrastructures of the future multi-energy grid. The book discusses a panorama of modeling, planning and optimization considerations for IoT technologies, their applications across grid modernization, and the coordinated operation of multi-vector energy grids. The work is suitable for energy, power, mechanical, chemical, process and environmental engineers, and highly relevant for researchers and postgraduate students who work on energy systems. Sections address core theoretical underpinnings, significant challenges and opportunities, how to support IoT-based developed expert systems, and how AI can empower IoT technologies to sustainably develop fully renewable modern multi-carrier energy networks. Contributors address artificial intelligence technology and its applications in developing IoT-based technologies, cloud-based intelligent energy management schemes, data science and multi-energy big data analysis, machine learning and deep learning techniques in multi-energy systems, and much more. - Reviews core applications of IoT technologies in grid modernization of multi-energy networks - Develops practical solutions for optimal integration of renewable energy resources in modern multi-vector energy networks - Analyzes the reliable integration, sustainable operation and accurate planning of multi-carrier energy grids in highly penetrated stochastic energy resources
Author: Mohammadreza Daneshvar
Publisher: Elsevier
ISBN: 0323957803
Category : Technology & Engineering
Languages : en
Pages : 191
Get Book Here
Book Description
IoT-Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks proposes practical solutions for the management and control of energy interactions throughout the interconnected energy infrastructures of the future multi-energy grid. The book discusses a panorama of modeling, planning and optimization considerations for IoT technologies, their applications across grid modernization, and the coordinated operation of multi-vector energy grids. The work is suitable for energy, power, mechanical, chemical, process and environmental engineers, and highly relevant for researchers and postgraduate students who work on energy systems. Sections address core theoretical underpinnings, significant challenges and opportunities, how to support IoT-based developed expert systems, and how AI can empower IoT technologies to sustainably develop fully renewable modern multi-carrier energy networks. Contributors address artificial intelligence technology and its applications in developing IoT-based technologies, cloud-based intelligent energy management schemes, data science and multi-energy big data analysis, machine learning and deep learning techniques in multi-energy systems, and much more. - Reviews core applications of IoT technologies in grid modernization of multi-energy networks - Develops practical solutions for optimal integration of renewable energy resources in modern multi-vector energy networks - Analyzes the reliable integration, sustainable operation and accurate planning of multi-carrier energy grids in highly penetrated stochastic energy resources
Author: Suman Lata Tripathi
Publisher: John Wiley & Sons
ISBN: 1119761778
Category : Computers
Languages : en
Pages : 384
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Book Description
There is not a single industry which will not be transformed by machine learning and Internet of Things (IoT). IoT and machine learning have altogether changed the technological scenario by letting the user monitor and control things based on the prediction made by machine learning algorithms. There has been substantial progress in the usage of platforms, technologies and applications that are based on these technologies. These breakthrough technologies affect not just the software perspective of the industry, but they cut across areas like smart cities, smart healthcare, smart retail, smart monitoring, control, and others. Because of these “game changers,” governments, along with top companies around the world, are investing heavily in its research and development. Keeping pace with the latest trends, endless research, and new developments is paramount to innovate systems that are not only user-friendly but also speak to the growing needs and demands of society. This volume is focused on saving energy at different levels of design and automation including the concept of machine learning automation and prediction modeling. It also deals with the design and analysis for IoT-enabled systems including energy saving aspects at different level of operation. The editors and contributors also cover the fundamental concepts of IoT and machine learning, including the latest research, technological developments, and practical applications. Valuable as a learning tool for beginners in this area as well as a daily reference for engineers and scientists working in the area of IoT and machine technology, this is a must-have for any library.
Author: Yu Luo
Publisher: Academic Press
ISBN: 0128191856
Category : Technology & Engineering
Languages : en
Pages : 252
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Book Description
Hybrid Systems and Multi-energy Networks for the Future Energy Internet provides the general concepts of hybrid systems and multi-energy networks, focusing on the integration of energy systems and the application of information technology for energy internet. The book gives a comprehensive presentation on the optimization of hybrid multi-energy systems, integrating renewable energy and fossil fuels. It presents case studies to support theoretical background, giving interdisciplinary prospects for the energy internet concept in power and energy. Covered topics make this book relevant to researchers and engineers in the energy field, engineers and researchers of renewable hybrid energy solutions, and upper level students. - Focuses on the emerging technologies and current challenges of integrating multiple technologies for distributed energy internet - Addresses current challenges of multi-energy networks and case studies supporting theoretical background - Includes a transformative understanding of future concepts and R&D directions on the concept of the energy internet
Author: Vahid Vahidinasab
Publisher: Springer Nature
ISBN: 3031524292
Category :
Languages : en
Pages : 363
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Book Description
Author: Mohammadreza Daneshvar
Publisher: John Wiley & Sons
ISBN: 1394188757
Category : Technology & Engineering
Languages : en
Pages : 484
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Book Description
A timely introduction to the revolutionary technologies reshaping the global energy market The search for more efficient and sustainable ways to meet society’s energy requirements has driven recent technological innovation on an unprecedented scale. The energy needs of a growing population coupled with concerns about climate change have posed unique challenges that necessitate novel energy technologies . The transition of modern energy grids towards multi-energy networks, or MENs, promises to be a fundamental transformation in the way we energize our world. Interconnected Modern Multi-Energy Networks and Intelligent Transportation Systems presents an overview of the foundational methodologies and technologies underlying MENs and the groundbreaking vehicle systems that bring them together. With the inclusion of transformative technologies from radically different sectors, the content covered in this book will be of high value for researchers interested in future energy systems. Readers will also find: In-depth examination of the process of switching from conventional transportation systems to modern intelligent transportation ones Detailed discussions of topics including self-driving vehicles, hybrid energy technologies, grid-edge, and more The introduction of a holistic, reconfigurable system adaptable to vastly different conditions and forms of network interaction Interconnected Modern Multi-Energy Networks and Intelligent Transportation Systems is useful for researchers in electrical, mechanical, civil, architectural, or environmental engineering, as well as for telecommunications researchers and for any industry professionals with an interest in energy transportation.
Author: Weijun Gao
Publisher: Springer Nature
ISBN: 3031210972
Category : Technology & Engineering
Languages : en
Pages : 311
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Book Description
The future of the distributed energy generation market is promising, with opportunities in the residential, commercial, and industrial sectors driven by increasing awareness of clean energy, greenhouse gas (GHG) emission reduction targets, and rising global demand for energy. This book focuses on UN Sustainable Development Goal 7, which aims to "ensure access to affordable, reliable, sustainable, and modern energy for all." It provides research results, applications, and case studies on the potential of distributed energy resources as a solution to building a low-carbon society. Coverage includes modeling and evaluation of distributed power systems, system maintenance and reliability, economic potential and implications of hydrogen energy systems, grid stabilization and carbon emission reduction, smart design, and the impact of energy penetration on public power grids. Case studies include the effects of renewable energy policies on solar photovoltaic energy in China, Germany, Japan, and the United States of America and a feasibility assessment of distributed energy systems in Shanghai. Distributed Energy Resources: Solutions for a Low Carbon Society will be a valuable resource for postgraduate students and researchers in energy systems, urban energy management, and renewable energy technologies and a reference guide for practicing engineers, urban energy planners, and energy system managers.
Author: Kumar, Raghvendra
Publisher: IGI Global
ISBN: 1668493195
Category : Computers
Languages : en
Pages : 502
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Book Description
With the rapid evolution of technology, identifying new risks is a constantly moving target. The metaverse is a virtual space that is interconnected with cloud computing and with companies, organizations, and even countries investing in virtual real estate. The questions of what new risks will become evident in these virtual worlds and in augmented reality and what real-world impacts they will have in an ever-expanding internet of things (IoT) need to be answered. Within continually connected societies that require uninterrupted functionality, cyber security is vital, and the ability to detect potential risks and ensure the security of computing systems is crucial to their effective use and success. Proper utilization of the latest technological advancements can help in developing more efficient techniques to prevent cyber threats and enhance cybersecurity. Risk Detection and Cyber Security for the Success of Contemporary Computing presents the newest findings with technological advances that can be utilized for more effective prevention techniques to protect against cyber threats. This book is led by editors of best-selling and highly indexed publications, and together they have over two decades of experience in computer science and engineering. Featuring extensive coverage on authentication techniques, cloud security, and mobile robotics, this book is ideally designed for students, researchers, scientists, and engineers seeking current research on methods, models, and implementation of optimized security in digital contexts.
Author: Yushuai Li
Publisher: Frontiers Media SA
ISBN: 2832555187
Category : Technology & Engineering
Languages : en
Pages : 125
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Book Description
The increasing pressure from energy and environmental protection has made the research for sustainable electrical energy urgent. The integration of high-proportion renewable energy resources offers significant achievements for decreased carbon emissions and increased economic costs. This calls for new concepts of modelling, monitoring, planning, optimization, control, etc. Due to the complexity of electrical energy systems (EES), it is challenging to design effective and smart solutions. The emerging digital technologies may provide promising solutions owing to the successful development of artificial intelligence, blockchain, edge computing, 5g/6g, etc. Moreover, digital technologies facilitate the integration of cyber and physical systems, which further benefits the intelligent detection, coordination, and management of EESs. There are many challenges that require further research and development on policy, architecture, modelling, planning, operation, optimization, and control for sustainable EESs.
Author: Yonghua Song
Publisher: Springer Nature
ISBN: 9819910900
Category : Technology & Engineering
Languages : en
Pages : 262
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Book Description
This book focuses on the risk modeling, analysis and control of multi-energy systems considering cross-sectorial failure propagation. Both models and methods have been addressed with engineering practice. This is accomplished by doing a thorough investigation into the modeling of system physics and reliabilities in both long- and short-term phases. Different models and methods to evaluate the risk of multi-energy systems considering various disturbances, e.g., component failures, load uncertainties and extreme weather, are studied in detail. Furthermore, several risk control strategies for multi-energy systems, such as long-term capacity planning and integrated demand response, are analyzed in this book, which is especially suited for readers interested in system risk management. The book can benefit researchers, engineers, and graduate students in the fields of electrical and electronic engineering, energy engineering, complex network and control engineering, etc.
Author: Mahdi Sharifzadeh
Publisher: John Wiley & Sons
ISBN: 1119695953
Category : Technology & Engineering
Languages : en
Pages : 400
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Book Description
Industry 4.0 Vision for the Supply of Energy and Materials Explore the impact of Industry 4.0 technologies on the supply chain with this authoritative text written by a leader in his field In Industry 4.0 Vision for the Supply of Energy and Materials, distinguished researcher and editor, Dr. Mahdi Sharifzadeh, delivers thematic, analytic, and applied discussions of the Industry 4.0 vision for supply chain design and operation. The book compiles all current aspects and emerging notions of Industry 4.0 into clusters of “enablers” and “analytics” of Supply Chain 4.0. Their multifaceted and highly interconnected nature is discussed at length, as are their diverse range of applications. You will discover uses of these new technologies ranging from the supply of conventional energy networks to renewables, pharmaceuticals, and additive manufacturing. You will also learn about their implications for economic prosperity and environmental sustainability. For each sector, this book scrutinizes current industrial practice and discusses developing concepts. Finally, the book concludes with potential future research directions of interest to industry practitioners and academics alike. Readers will also benefit from the inclusion of: A thorough introduction to connectivity through wireless communications and remote sensors An exploration of blockchains and smart contracts, as well as robotics and automation and cloud computing Practical discussions of supply chain analytics, including big data, machine-learning, and artificial intelligence, as well as supply chain modeling, optimization, and control A concise treatment of Industry 4.0 applications in supply chain design and operation, including the circular economy and the power industry An analysis of the oil, gas, and petrochemical industry, the pharmaceutical industry, and additive manufacturing Perfect for PhD-level and Postdoctoral researchers and industrial researchers, Industry 4.0 Vision for the Supply of Energy and Materials will also earn a place in the libraries of working professionals with an interest in the quantitative analysis of Supply Chain 4.0 concepts and techniques.
