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This comprehensive reference text discusses simulation with case
studies and realworld applications related to energy system models,
the large-scale integration of renewable energy systems, electric
vehicles, and energy storage systems. The text covers analysis and
modeling of the large-scale integration of renewable energy
systems, electric vehicles, and energy storage systems. It further
discusses economic aspects useful for policy makers and industrial
professionals. It covers important topics, including smart grids
architectures, wide-area situational awareness (WASA), energy
management systems (EMS), demand response (DR), smart grid
standardization exertions, virtual power plants, battery
degradation modeling, optimization approaches in modeling, and
smart metering infrastructure. The book: Discusses the analysis and
modeling of the large-scale integration of renewable energy
systems, electric vehicles, and energy storage systems Covers
issues and challenges encountered in the large-scale integration of
electric vehicles, energy storage systems and renewable energy
systems into future smart grid design Provides simulation with case
studies and real-world applications related to energy system
models, electric vehicles, and energy storage systems Discusses the
integration of large renewable energy systems, with the presence of
a large number of electric vehicles and storage devices/systems
Discussing concepts of smart grids, together with the deployment of
electric vehicles, energy storage systems and renewable energy
systems, this text will be useful as a reference text for graduate
students and academic researchers in the fields of electrical
engineering, electronics and communication engineering, renewable
energy, and clean technologies. It further discusses topics,
including electric grid infrastructure, architecture, interfacing,
standardization, protocols, security, reliability, communication,
and optimal control.
includes high-quality research work by academics and industrial
experts in the field of computing. includes case studies related to
Artificial Intelligence, Blockchain, Internet of Things, Multimedia
Big data, Blockchain, Augmented reality, Data Science, Robotics,
Cybersecurity, 3D printing, Voice Assistants and Chat bots, and
future communication networks. serves as a valuable reference guide
for anyone seeking knowledge about the future of computing.
This book gathers selected papers presented at International
Conference on Machine Learning, Advances in Computing, Renewable
Energy and Communication (MARC 2020), held in Krishna Engineering
College, Ghaziabad, India, during December 17-18, 2020. This book
discusses key concepts, challenges, and potential solutions in
connection with established and emerging topics in advanced
computing, renewable energy, and network communications.
Presents analysis and modeling of renewable generation uncertainty
for planning and operation, beneficial for industry professionals
and researchers. Discusses the dependence modeling of multi-site
renewable generations in detail. Covers probabilistic analysis,
useful for data analysts. Discusses various aspects of renewable
energy integration i.e. technical, economic, etc. Covers
correlation factors and methodologies are validated with case
studies with various standard test systems.
Smart Electrical and Mechanical Systems: An Application of
Artificial Intelligence and Machine Learning is an international
contributed work with the most up-to-date fundamentals and
conventional methods used in smart electrical and mechanical
systems. Detailing methods and procedures for the application of ML
and AI, it is supported with illustrations of the systems, process
diagrams visuals of the systems and/or their components, and
supportive data and results leading to the benefits and challenges
of the relevant applications. The multidisciplinary theme of the
book will help researchers build a synergy between electrical and
mechanical engineering systems. The book guides readers on not only
how to effectively solve problems but also provide high accuracy
needed for successful implementation. Interdisciplinary in nature,
the book caters to the needs of the electrical and mechanical
engineering industry by offering details on the application of AI
and ML in robotics, design and manufacturing, image processing,
power system operation and forecasting with suitable examples.
This book provides an overview of how efficient building energy
management can be done, considering the increasing importance of
renewable energy integration. It also includes the grid-interactive
building, their control, energy management, and optimization
techniques to promote better understanding among researchers and
business professionals in the utility sector and across industries.
This book is written and edited by leading specialists active in
concurrent developments in smart building management, renewable
energy research, and application-driven R&D. The experiences
and research work shared help the readers in enhancing their
knowledge in the field of renewable energy, power engineering,
building energy management, demand, and supply management and learn
the technical analysis of the same in an insightful manner.
Additionally, established and emerging applications related to
applied areas like smart cities, the Internet of things, machine
learning, artificial intelligence, etc., are developed and utilized
to demonstrate recent innovations in smart building energy
management.
This book provides an overview of how efficient building energy
management can be done, considering the increasing importance of
renewable energy integration. It also includes the grid-interactive
building, their control, energy management, and optimization
techniques to promote better understanding among researchers and
business professionals in the utility sector and across industries.
This book is written and edited by leading specialists active in
concurrent developments in smart building management, renewable
energy research, and application-driven R&D. The experiences
and research work shared help the readers in enhancing their
knowledge in the field of renewable energy, power engineering,
building energy management, demand, and supply management and learn
the technical analysis of the same in an insightful manner.
Additionally, established and emerging applications related to
applied areas like smart cities, the Internet of things, machine
learning, artificial intelligence, etc., are developed and utilized
to demonstrate recent innovations in smart building energy
management.
This book gathers selected papers presented at International
Conference on Machine Learning, Advances in Computing, Renewable
Energy and Communication (MARC 2020), held in Krishna Engineering
College, Ghaziabad, India, during December 17-18, 2020. This book
discusses key concepts, challenges, and potential solutions in
connection with established and emerging topics in advanced
computing, renewable energy, and network communications.
Advances in Smart Grid Power System: Network, Control and Security
discusses real world problems, solutions, and best practices in
related fields. The book includes executable plans for smart grid
systems, their network communications, tactics on protecting
information, and response plans for cyber incidents. Moreover, it
enables researchers and energy professionals to understand the
future of energy delivery systems and security. Covering
fundamental theory, mathematical formulations, practical
implementations, and experimental testing procedures, this book
gives readers invaluable insights into the field of power systems,
their quality and reliability, their impact, and their importance
in cybersecurity.
Control of Standalone Microgrid looks at a practical and systematic
elaboration of the architecture, design and control of standalone
microgrids. It is oriented towards more advanced readers who want
to enhance their knowledge in the fields of power engineering,
sustainable energy, microgrids and their control. With an enriched
collection of topics pertaining to the architecture and control of
standalone microgrids, this book presents recent research that will
bring advancements in the current power system scenario, discussing
operational and technical issues due to high penetration of
distributed generation units. Including executable plans for
standalone microgrid systems this book enables researchers and
energy executives to understand the future of energy delivery
systems as well as global case studies and models to apply control
techniques for standalone microgrids and protection schemes which
provide a deeper level of understanding.
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