V. Indragandhi – författare

Simulation of Software Tools for Electrical Systems: Theory and Practice offers engineers and students what they need to update their understanding of software tools for electric systems, along with guidance on a variety of tools on which to model electrical systems-from device level to system level. The book uses MATLAB, PSIM, Pspice and PSCAD to discuss how to build simulation models of electrical systems that assist in the practice or implementation of simulation software tools in switches, circuits, controllers, instruments and automation system design.

In addition, the book covers power electronic switches and FACTS controller device simulation model building with the use of Labview and PLC for industrial automation, process control, monitoring and measurement in electrical systems and hybrid optimization software HOMER is presented for researchers in renewable energy systems.

Includes interactive content for numerical computation, visualization and programming for learning the software tools related to electrical sciences Identifies complex and difficult topics illustrated by useable examples Analyzes the simulation of electrical systems, hydraulic, and pneumatic systems using different software, including MATLAB, LABVIEW, MULTISIM, AUTOSIM and PSCAD

Simulation of Software Tools for Electrical Systems: Theory and Practice offers engineers and students what they need to update their understanding of software tools for electric systems, along with guidance on a variety of tools on which to model electrical systems—from device level to system level. The book uses MATLAB, PSIM, Pspice and PSCAD to discuss how to build simulation models of electrical systems that assist in the practice or implementation of simulation software tools in switches, circuits, controllers, instruments and automation system design.In addition, the book covers power electronic switches and FACTS controller device simulation model building with the use of Labview and PLC for industrial automation, process control, monitoring and measurement in electrical systems and hybrid optimization software HOMER is presented for researchers in renewable energy systems.- Includes interactive content for numerical computation, visualization and programming for learning the software tools related to electrical sciences- Identifies complex and difficult topics illustrated by useable examples- Analyzes the simulation of electrical systems, hydraulic, and pneumatic systems using different software, including MATLAB, LABVIEW, MULTISIM, AUTOSIM and PSCAD

Electric Motor Drives and Its Applications with Simulation Practices provides comprehensive coverage of the concepts of electric motor drives and their applications, along with their simulation using MATLAB and other software tools. The book helps engineers and students improve their software skills by learning to simulate various electric drives and applications and assists with new ideas in the simulation of electrical, electronics and instrumentations systems. Covering power electronic converter fed drives and simulation model building using all possible software as well as the operation and relevant applications discussed, the book provides a number of examples and step-by-step procedures for successful implementation.

Intended for engineers, students and research scholars in industry who are working in the field of power electronics and drives, this book provides a brief introduction to simulation software under different environments.

Provides an in-depth analysis of Electric motors and drives, specifically focused on practical approaches Includes simulations of electric drives using best proven software tools like MATLAB and PSIM Details step-by-step approaches for creating and applying simulation of electric drives

Electric Motor Drives and Its Applications with Simulation Practices provides comprehensive coverage of the concepts of electric motor drives and their applications, along with their simulation using MATLAB and other software tools. The book helps engineers and students improve their software skills by learning to simulate various electric drives and applications and assists with new ideas in the simulation of electrical, electronics and instrumentations systems. Covering power electronic converter fed drives and simulation model building using all possible software as well as the operation and relevant applications discussed, the book provides a number of examples and step-by-step procedures for successful implementation.Intended for engineers, students and research scholars in industry who are working in the field of power electronics and drives, this book provides a brief introduction to simulation software under different environments.- Provides an in-depth analysis of Electric motors and drives, specifically focused on practical approaches- Includes simulations of electric drives using best proven software tools like MATLAB and PSIM- Details step-by-step approaches for creating and applying simulation of electric drives

Green Machine Learning and Big Data for Smart Grids: Practices and Applications is a guidebook to the best practices and potential for green data analytics when generating innovative solutions to renewable energy integration in the power grid. This book begins with a solid foundation in the concept of “green” machine learning and the essential technologies for utilizing data analytics in smart grids. A variety of scenarios are examined closely, demonstrating the opportunities for supporting renewable energy integration using machine learning, from forecasting and stability prediction to smart metering and disturbance tests.Uses for control of physical components including inverters and converters are examined, along with policy implications. Importantly, real-world case studies and chapter objectives are combined to signpost essential information, and to support understanding and implementation.Packages core concepts of green machine learning and smart grids in a clear, understandable wayIncludes real-world, practical applications and case studies for replication and innovative solution developmentIntroduces readers with a range of expertise to best practices and the latest technological advances

Green Machine Learning and Big Data for Smart Grids: Practices and Applications is a guidebook to the best practices and potential for green data analytics when generating innovative solutions to renewable energy integration in the power grid. This book begins with a solid foundation in the concept of "green" machine learning and the essential technologies for utilizing data analytics in smart grids. A variety of scenarios are examined closely, demonstrating the opportunities for supporting renewable energy integration using machine learning, from forecasting and stability prediction to smart metering and disturbance tests.Uses for control of physical components including inverters and converters are examined, along with policy implications. Importantly, real-world case studies and chapter objectives are combined to signpost essential information, and to support understanding and implementation.- Packages core concepts of green machine learning and smart grids in a clear, understandable way- Includes real-world, practical applications and case studies for replication and innovative solution development- Introduces readers with a range of expertise to best practices and the latest technological advances

Electric Vehicle Powertrains: Design Fundamentals, Components, and Applications equips readers with the technical know-how to innovate and optimize EV performance. Including solid fundamentals and a grounding in essential sustainable mobility contextualization, the book then goes on to offer a well-thought-out, systems-level perspective with protocols addressing vehicle specification requirements and quality manufacturing standards. Sections also provide an overview of the latest technological developments for each key component. Coverage of batteries, their management systems, and LCA analysis follow. Expert contributions round out the book’s offering with an exploration of cutting-edge modeling tools and a look to better-performing, more reliable, cost-effective EVs.Users will find a valuable resource that blends blueprint-like knowledge and real-world exemplars of technical implementation issues alongside practice-informed solutions.Elucidates the intricacies of an electric powertrain by systematically analyzing each of the system’s componentsIncludes practical modeling insights to enhance performance and sustainabilityShowcases case studies, application examples, and lessons learned to inspire further research into additional innovative approaches

Electric Vehicle Powertrains: Design Fundamentals, Components, and Applications equips readers with the technical know-how to innovate and optimize EV performance. Including solid fundamentals and a grounding in essential sustainable mobility contextualization, the book then goes on to offer a well-thought-out, systems-level perspective with protocols addressing vehicle specification requirements and quality manufacturing standards. Sections also provide an overview of the latest technological developments for each key component. Coverage of batteries, their management systems, and LCA analysis follow. Expert contributions round out the book's offering with an exploration of cutting-edge modeling tools and a look to better-performing, more reliable, cost-effective EVs.Users will find a valuable resource that blends blueprint-like knowledge and real-world exemplars of technical implementation issues alongside practice-informed solutions. - Elucidates the intricacies of an electric powertrain by systematically analyzing each of the system's components- Includes practical modeling insights to enhance performance and sustainability- Showcases case studies, application examples, and lessons learned to inspire further research into additional innovative approaches

SMART GRIDS AND GREN ENERGY SYSTEMS Green energy and smart grids are two of the most important topics in the constantly emerging and changing energy and power industry. Books like this one keep the veteran engineer and student, alike, up to date on current trends in the technology and offer a reference for the industry for its practical applications. Smart grids and green energy systems are promising research fields which need to be commercialized for many reasons, including more efficient energy systems and environmental concerns. Performance and cost are tradeoffs which need to be researched to arrive at optimal solutions. This book focuses on the convergence of various technologies involved in smart grids and green energy systems. Areas of expertise, such as computer science, electronics, electrical engineering, and mechanical engineering are all covered. In the future, there is no doubt that all countries will gradually shift from conventional energy sources to green energy systems. Thus, it is extremely important for any engineer, scientist, or other professional in this area to keep up with evolving technologies, techniques, and processes covered in this important new volume.This book brings together the research that has been carrying out in the field of smart grids and green energy systems, across a variety of industries and scientific subject-areas. Written and edited by a team of experts, this groundbreaking collection of papers serves as a point of convergence wherein all these domains need to be addressed. The various chapters are configured in order to address the challenges faced in smart grid and green energy systems from various fields and possible solutions. Valuable as a learning tool for beginners in this area as well as a daily reference for engineers and scientists working in these areas, this is a must-have for any library.

SMART GRIDS AND GREN ENERGY SYSTEMS

Green energy and smart grids are two of the most important topics in the constantly emerging and changing energy and power industry. Books like this one keep the veteran engineer and student, alike, up to date on current trends in the technology and offer a reference for the industry for its practical applications.

Smart grids and green energy systems are promising research fields which need to be commercialized for many reasons, including more efficient energy systems and environmental concerns. Performance and cost are tradeoffs which need to be researched to arrive at optimal solutions. This book focuses on the convergence of various technologies involved in smart grids and green energy systems. Areas of expertise, such as computer science, electronics, electrical engineering, and mechanical engineering are all covered. In the future, there is no doubt that all countries will gradually shift from conventional energy sources to green energy systems. Thus, it is extremely important for any engineer, scientist, or other professional in this area to keep up with evolving technologies, techniques, and processes covered in this important new volume.

This book brings together the research that has been carrying out in the field of smart grids and green energy systems, across a variety of industries and scientific subject-areas. Written and edited by a team of experts, this groundbreaking collection of papers serves as a point of convergence wherein all these domains need to be addressed. The various chapters are configured in order to address the challenges faced in smart grid and green energy systems from various fields and possible solutions. Valuable as a learning tool for beginners in this area as well as a daily reference for engineers and scientists working in these areas, this is a must-have for any library.

SMART GRIDS AND GREN ENERGY SYSTEMS

Green energy and smart grids are two of the most important topics in the constantly emerging and changing energy and power industry. Books like this one keep the veteran engineer and student, alike, up to date on current trends in the technology and offer a reference for the industry for its practical applications.

Smart grids and green energy systems are promising research fields which need to be commercialized for many reasons, including more efficient energy systems and environmental concerns. Performance and cost are tradeoffs which need to be researched to arrive at optimal solutions. This book focuses on the convergence of various technologies involved in smart grids and green energy systems. Areas of expertise, such as computer science, electronics, electrical engineering, and mechanical engineering are all covered. In the future, there is no doubt that all countries will gradually shift from conventional energy sources to green energy systems. Thus, it is extremely important for any engineer, scientist, or other professional in this area to keep up with evolving technologies, techniques, and processes covered in this important new volume.

This book brings together the research that has been carrying out in the field of smart grids and green energy systems, across a variety of industries and scientific subject-areas. Written and edited by a team of experts, this groundbreaking collection of papers serves as a point of convergence wherein all these domains need to be addressed. The various chapters are configured in order to address the challenges faced in smart grid and green energy systems from various fields and possible solutions. Valuable as a learning tool for beginners in this area as well as a daily reference for engineers and scientists working in these areas, this is a must-have for any library.

INTELLIGENT AND SOFT COMPUTING SYSTEMS FOR GREEN ENERGY Written and edited by some of the world’s top experts in the field, this exciting new volume provides state-of-the-art research and the latest technological breakthroughs in next-generation computing systems for the energy sector, striving to bring the science toward sustainability. Real-world problems need intelligent solutions. Across many industries and fields, intelligent and soft computing systems, using such developing technologies as artificial intelligence and Internet of Things, are quickly becoming important tools for scientists, engineers, and other professionals for solving everyday problems in practical situations. This book aims to bring together the research that has been carried out in the field of intelligent and soft computing systems. Intelligent and soft computing systems involves expertise from various domains of research, such as electrical engineering, computer engineering, and mechanical engineering. This book will serve as a point of convergence wherein all these domains come together. The various chapters are configured to address the challenges faced in intelligent and soft computing systems from various fields and possible solutions. The outcome of this book can serve as a potential resource for industry professionals and researchers working in the domain of intelligent and soft computing systems. To list a few soft computing techniques, neural-based load forecasting, IoT-enabled smart grids, and blockchain technology for energy trading. Whether for the veteran engineer or the student learning the latest breakthroughs, this exciting new volume is a must-have for any library.

INTELLIGENT AND SOFT COMPUTING SYSTEMS FOR GREEN ENERGY

Written and edited by some of the world’s top experts in the field, this exciting new volume provides state-of-the-art research and the latest technological breakthroughs in next-generation computing systems for the energy sector, striving to bring the science toward sustainability.

Real-world problems need intelligent solutions. Across many industries and fields, intelligent and soft computing systems, using such developing technologies as artificial intelligence and Internet of Things, are quickly becoming important tools for scientists, engineers, and other professionals for solving everyday problems in practical situations.

This book aims to bring together the research that has been carried out in the field of intelligent and soft computing systems. Intelligent and soft computing systems involves expertise from various domains of research, such as electrical engineering, computer engineering, and mechanical engineering. This book will serve as a point of convergence wherein all these domains come together.

The various chapters are configured to address the challenges faced in intelligent and soft computing systems from various fields and possible solutions. The outcome of this book can serve as a potential resource for industry professionals and researchers working in the domain of intelligent and soft computing systems.

To list a few soft computing techniques, neural-based load forecasting, IoT-enabled smart grids, and blockchain technology for energy trading. Whether for the veteran engineer or the student learning the latest breakthroughs, this exciting new volume is a must-have for any library.

INTELLIGENT AND SOFT COMPUTING SYSTEMS FOR GREEN ENERGY

Written and edited by some of the world’s top experts in the field, this exciting new volume provides state-of-the-art research and the latest technological breakthroughs in next-generation computing systems for the energy sector, striving to bring the science toward sustainability.

Real-world problems need intelligent solutions. Across many industries and fields, intelligent and soft computing systems, using such developing technologies as artificial intelligence and Internet of Things, are quickly becoming important tools for scientists, engineers, and other professionals for solving everyday problems in practical situations.

This book aims to bring together the research that has been carried out in the field of intelligent and soft computing systems. Intelligent and soft computing systems involves expertise from various domains of research, such as electrical engineering, computer engineering, and mechanical engineering. This book will serve as a point of convergence wherein all these domains come together.

The various chapters are configured to address the challenges faced in intelligent and soft computing systems from various fields and possible solutions. The outcome of this book can serve as a potential resource for industry professionals and researchers working in the domain of intelligent and soft computing systems.

To list a few soft computing techniques, neural-based load forecasting, IoT-enabled smart grids, and blockchain technology for energy trading. Whether for the veteran engineer or the student learning the latest breakthroughs, this exciting new volume is a must-have for any library.

Drive the future of sustainable mobility with this essential book, which offers a comprehensive, multi-disciplinary guide to the challenges and AI-driven innovations for developing smart, efficient electric vehicle charging solutions. The shift to electric vehicles supports the global commitment to reduce greenhouse gas emissions and decrease reliance on fossil fuels. However, crucial charging infrastructure is a key component for encouraging the adoption of electric vehicles. As a developing country, India is experiencing rapid urbanization, leading to higher vehicle ownership rates. With more vehicles on the road, the demand for charging infrastructure is growing, making smart chargers essential to efficiently manage and distribute electricity for electric vehicles. This book offers a comprehensive look at the challenges and innovations for electric vehicle charging solutions to expedite the transition to net-zero emissions. It focuses on the convergence of various technologies, including AI and deep and machine learning for smart charging systems. Through a multi-disciplinary approach and real-world case studies, this book will serve as an essential resource for innovators looking towards the future of green transportation.

Drive the future of sustainable mobility with this essential book, which offers a comprehensive, multi-disciplinary guide to the challenges and AI-driven innovations for developing smart, efficient electric vehicle charging solutions. The shift to electric vehicles supports the global commitment to reduce greenhouse gas emissions and decrease reliance on fossil fuels. However, crucial charging infrastructure is a key component for encouraging the adoption of electric vehicles. As a developing country, India is experiencing rapid urbanization, leading to higher vehicle ownership rates. With more vehicles on the road, the demand for charging infrastructure is growing, making smart chargers essential to efficiently manage and distribute electricity for electric vehicles. This book offers a comprehensive look at the challenges and innovations for electric vehicle charging solutions to expedite the transition to net-zero emissions. It focuses on the convergence of various technologies, including AI and deep and machine learning for smart charging systems. Through a multi-disciplinary approach and real-world case studies, this book will serve as an essential resource for innovators looking towards the future of green transportation.

Harness the future of sustainable energy with this essential volume, which provides a comprehensive guide to integrating artificial intelligence for efficient energy storage and management systems. To achieve a clean and sustainable energy future, renewable energy sources such as solar, hydropower, and wind must develop dependable and effective energy storage technologies. The growing need for intelligent energy storage systems is greater than ever, despite substantial advancements in sophisticated energy storage technology, especially for large-scale energy storage. This book aims to provide the most recent developments in the integration of artificial intelligence for energy storage and management systems by introducing energy systems, power generation, and power needs to reduce expenses associated with generation, power loss, and environmental impacts. It explores state-of-the-art methods and solutions, such as intelligent wind and solar energy systems, founded on current technology, offering a strong foundation to satisfy the requirements of both developed and developing nations. An extensive overview of the many kinds of storage options is included. Additionally, it examines how utilizing diverse storage types can enhance the administration of a power supply system while also considering the more significant opportunities that result from integrating multiple storage devices into a system. Artificial Intelligence for Energy Management is a collection of expert contributions encompassing new techniques, methods, algorithms, practical solutions, and models for renewable energy storage based on artificial intelligence.

Harness the future of sustainable energy with this essential volume, which provides a comprehensive guide to integrating artificial intelligence for efficient energy storage and management systems. To achieve a clean and sustainable energy future, renewable energy sources such as solar, hydropower, and wind must develop dependable and effective energy storage technologies. The growing need for intelligent energy storage systems is greater than ever, despite substantial advancements in sophisticated energy storage technology, especially for large-scale energy storage. This book aims to provide the most recent developments in the integration of artificial intelligence for energy storage and management systems by introducing energy systems, power generation, and power needs to reduce expenses associated with generation, power loss, and environmental impacts. It explores state-of-the-art methods and solutions, such as intelligent wind and solar energy systems, founded on current technology, offering a strong foundation to satisfy the requirements of both developed and developing nations. An extensive overview of the many kinds of storage options is included. Additionally, it examines how utilizing diverse storage types can enhance the administration of a power supply system while also considering the more significant opportunities that result from integrating multiple storage devices into a system. Artificial Intelligence for Energy Management is a collection of expert contributions encompassing new techniques, methods, algorithms, practical solutions, and models for renewable energy storage based on artificial intelligence.

Harness the future of sustainable energy with this essential volume, which provides a comprehensive guide to integrating artificial intelligence for efficient energy storage and management systems. To achieve a clean and sustainable energy future, renewable energy sources such as solar, hydropower, and wind must develop dependable and effective energy storage technologies. The growing need for intelligent energy storage systems is greater than ever, despite substantial advancements in sophisticated energy storage technology, especially for large-scale energy storage. This book aims to provide the most recent developments in the integration of artificial intelligence for energy storage and management systems by introducing energy systems, power generation, and power needs to reduce expenses associated with generation, power loss, and environmental impacts. It explores state-of-the-art methods and solutions, such as intelligent wind and solar energy systems, founded on current technology, offering a strong foundation to satisfy the requirements of both developed and developing nations. An extensive overview of the many kinds of storage options is included. Additionally, it examines how utilizing diverse storage types can enhance the administration of a power supply system while also considering the more significant opportunities that result from integrating multiple storage devices into a system. Artificial Intelligence for Energy Management is a collection of expert contributions encompassing new techniques, methods, algorithms, practical solutions, and models for renewable energy storage based on artificial intelligence.

Future-proof your technical expertise with this essential book, offering a comprehensive guide to the latest innovations, trends, and solutions at the critical intersection of embedded systems, signal processing, and communication systems. Embedded systems play a pivotal role in our modern lives. These specialized devices are discreetly embedded within larger systems, performing specific tasks autonomously. From smartphones and wearables to industrial machinery and automotive control units, embedded systems are ubiquitous. Signal processing enables the extraction of meaningful information from raw data, making it essential for applications such as image and speech recognition, medical diagnostics, and wireless communication. This book focuses on the latest innovations, trends, and challenges encountered in the areas of embedded systems, signal processing, and communication systems. It highlights potential solutions and provides insights into emerging areas, such as signal processing algorithms and communication protocols, making it an invaluable resource for anyone working with integrated systems.

Future-proof your technical expertise with this essential book, offering a comprehensive guide to the latest innovations, trends, and solutions at the critical intersection of embedded systems, signal processing, and communication systems. Embedded systems play a pivotal role in our modern lives. These specialized devices are discreetly embedded within larger systems, performing specific tasks autonomously. From smartphones and wearables to industrial machinery and automotive control units, embedded systems are ubiquitous. Signal processing enables the extraction of meaningful information from raw data, making it essential for applications such as image and speech recognition, medical diagnostics, and wireless communication. This book focuses on the latest innovations, trends, and challenges encountered in the areas of embedded systems, signal processing, and communication systems. It highlights potential solutions and provides insights into emerging areas, such as signal processing algorithms and communication protocols, making it an invaluable resource for anyone working with integrated systems.

Future-proof your technical expertise with this essential book, offering a comprehensive guide to the latest innovations, trends, and solutions at the critical intersection of embedded systems, signal processing, and communication systems. Embedded systems play a pivotal role in our modern lives. These specialized devices are discreetly embedded within larger systems, performing specific tasks autonomously. From smartphones and wearables to industrial machinery and automotive control units, embedded systems are ubiquitous. Signal processing enables the extraction of meaningful information from raw data, making it essential for applications such as image and speech recognition, medical diagnostics, and wireless communication. This book focuses on the latest innovations, trends, and challenges encountered in the areas of embedded systems, signal processing, and communication systems. It highlights potential solutions and provides insights into emerging areas, such as signal processing algorithms and communication protocols, making it an invaluable resource for anyone working with integrated systems.

Revolutionize your industrial practice with this essential book, which provides a comprehensive overview of how artificial intelligence can be integrated into instrumentation and control systems to achieve unprecedented precision, efficiency, and autonomous optimization. Artificial Intelligence is increasingly becoming a game-changer in the fields of instrumentation, control, and automation, offering unprecedented capabilities to optimize processes, enhance efficiency, and drive innovation. AI algorithms and techniques could be integrated into traditional control systems to create smart and adaptive solutions capable of learning from data and making autonomous decisions for dynamic real-world environments. From predictive maintenance in manufacturing plants to navigation of autonomous vehicles in complex roadways, AI empowers instrumentation and control systems to operate with heightened precision and agility, revolutionizing industries across the board. This book will present the power of AI to optimize processes, enhance efficiency, and achieve unparalleled precision in instrumentation, control, and automation applications. It provides a comprehensive overview of these emerging technologies and their role in optimizing the instrumentation, control, and automation, covering topics such as neural networks and deep learning in control systems, data-driven modeling and prediction in automation, and optimization and decision-making in instrumentation using AI.