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Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems Fundamentals, Technologies, and Solutions

Tanwar, Sudeep
Heftet / 2024 / Engelsk

Produktdetaljer

ISBN
9780443238147
Publisert
2024-05-23
Utgiver
Vendor
Elsevier - Health Sciences Division
Vekt
450 gr
Høyde
229 mm
Bredde
152 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
550

Redaktør
Tanwar, Sudeep

Biographical note

Dr. Aparna Kumari is an Assistant Professor in the Dept. of Computer Science and Engineering at the Institute of Technology, Nirma University, India. She was listed among the top 2% most influential researchers globally by Stanford University in 2021, 2022, and 2023 and was also awarded the Shri Pralhad P Chhabria Award – Runner Up for Best Female Professional (Early Career) in 2023. Her research interests include smart grid technologies, blockchain, Artificial Intelligence, quantum computing, electric vehicles, virtual and augmented reality, cybersecurity, and IoT. She is currently serving as a reviewer for the IEEE Internet of Things Journal, Multimedia Tools and Applications (Springer), Sensors (MDPI), the Journal of Information Security and Applications (Elsevier), and IEEE Network. She is a member of the Program/Technical Committee on UPCON2020, IC4S-2021, IC4S-2022, and EPTL2022, as well as of IEEE Women in Engineering. Sudeep Tanwar is a full Professor at Nirma University, India, where he also leads the ST Research Laboratory. He is a Visiting Professor with Jan Wyzykowski University, Poland and the University of Pitesti, Romania. He has edited 20 books and authored 4 books and more than 300 technical articles, for national and international peer-reviewed journals and conferences. He initiated the research field of blockchain technology adoption in various verticals in 2017. His research interests include blockchain technology, wireless sensor networks, fog computing, smart grid, and the IoT. He is a member of the Technical Committee on Tactile Internet of IEEE Communication Society. He has been awarded Best Research Paper Awards from IEEE IWCMC-2021, IEEE ICCCA-2021, IEEE GLOBECOM 2018, IEEE ICC 2019, and Springer ICRIC-2019. He has won Dr KW Wong Annual Best Paper Prize (with 750 USD) for 2021 sponsored by Elsevier (publishers of JISA).

Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems Fundamentals, Technologies, and Solutions

Tanwar, Sudeep
Heftet / 2024 / Engelsk
Tanwar, Sudeep
Heftet / 2024 / Engelsk
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Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems: Fundamentals, Technologies, and Solutions is an essential reference for energy researchers, graduate students, and engineers who aim to understand the opportunities offered by artificial intelligence for the integration of electric vehicles into smart grids. The book covers foundational knowledge, including the essentials of artificial intelligence and its applications for electric vehicles in a clear and holistic manner. Next, it breaks down two essential areas of application in more detail: energy management (from to energy harvesting to demand response and complex forecasting), and market strategies (including peer-to-peer, vehicle-to-vehicle, and vehicle-to-everything trading, plus cybersecurity implications). A final part provides detailed case studies and close consideration of challenges, including code and data sets for replication of techniques. Providing a clear pathway from fundamentals to practical implementation, this book provides multidisciplinary guidance for implementing this cutting-edge technology in the energy systems of the future.
Les mer
Part I Introduction to artificial intelligence and electric vehicles in smart grid systems 1. Introduction to artificial intelligence-empowered electric vehicles in smart grids 2. Communication technologies for electric vehicles 3. Robustness and resilience of artificial intelligence enabled electric vehicles: “a safety and security perspective” 4. Applications of AI-empowered electric vehicles for voice recognition in Asian and Austronesian languages Part II Energy management for artificial intelligence empowered modern electric vehicles 5. Demand response management using artificial intelligence-empowered electric vehicles 6. Energy prediction for future energy supply in electrical vehicles 7. Optimizing the integration of renewable energy source and plug-in electric vehicles for economic emission load dispatch through soft computing techniques 8. Battery-operated electric vehicles and plug-in hybrid electric vehicles Part III Energy trading for artificial intelligence empowered modern electric vehicles 9. Peer-to-peer energy trading using renewable energy sources and electric vehicles 10. Smart energy management using vehicle-to-vehicle and vehicle-to-everything 11. Vehicle-to-vehicle power transfer 12. Cyber-security challenges for artificial intelligence empowered electric vehicles—analysis and current status Part IV Case studies and futuristic trends for artificial intelligence-enabled electric vehicles 13. Revitalizing traffic control: the synergy of fog computing and Internet of Things for an intelligent traffic light system for electric vehicles 14. On fuzzy completely irresolute on smart decision-making for electric vehicle systems 15. Front-in parking method for intelligent electric vehicles using proportional_integral_derivative control 16. The futuristic trends for modern electric vehicles 17. Environmental sustainability and carbon footprint reduction through artificial intelligence-enabled energy management in electric vehicles
Les mer
Provides fundamental knowledge and practical strategies in AI opportunities for graduate students, researchers, and engineers in energy system design
Supports fundamental understanding of artificial intelligence and its opportunities for energy system specialists Collects the real-world experiences of global experts Enables practical implementation of artificial intelligence strategies that support renewable energy integration across energy systems, markets, and grids
Les mer

Relaterte produkter

Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems: Fundamentals, Technologies, and Solutions is an essential reference for energy researchers, graduate students, and engineers who aim to understand the opportunities offered by artificial intelligence for the integration of electric vehicles into smart grids. The book covers foundational knowledge, including the essentials of artificial intelligence and its applications for electric vehicles in a clear and holistic manner. Next, it breaks down two essential areas of application in more detail: energy management (from to energy harvesting to demand response and complex forecasting), and market strategies (including peer-to-peer, vehicle-to-vehicle, and vehicle-to-everything trading, plus cybersecurity implications). A final part provides detailed case studies and close consideration of challenges, including code and data sets for replication of techniques. Providing a clear pathway from fundamentals to practical implementation, this book provides multidisciplinary guidance for implementing this cutting-edge technology in the energy systems of the future.
Les mer
Part I Introduction to artificial intelligence and electric vehicles in smart grid systems 1. Introduction to artificial intelligence-empowered electric vehicles in smart grids 2. Communication technologies for electric vehicles 3. Robustness and resilience of artificial intelligence enabled electric vehicles: “a safety and security perspective” 4. Applications of AI-empowered electric vehicles for voice recognition in Asian and Austronesian languages Part II Energy management for artificial intelligence empowered modern electric vehicles 5. Demand response management using artificial intelligence-empowered electric vehicles 6. Energy prediction for future energy supply in electrical vehicles 7. Optimizing the integration of renewable energy source and plug-in electric vehicles for economic emission load dispatch through soft computing techniques 8. Battery-operated electric vehicles and plug-in hybrid electric vehicles Part III Energy trading for artificial intelligence empowered modern electric vehicles 9. Peer-to-peer energy trading using renewable energy sources and electric vehicles 10. Smart energy management using vehicle-to-vehicle and vehicle-to-everything 11. Vehicle-to-vehicle power transfer 12. Cyber-security challenges for artificial intelligence empowered electric vehicles—analysis and current status Part IV Case studies and futuristic trends for artificial intelligence-enabled electric vehicles 13. Revitalizing traffic control: the synergy of fog computing and Internet of Things for an intelligent traffic light system for electric vehicles 14. On fuzzy completely irresolute on smart decision-making for electric vehicle systems 15. Front-in parking method for intelligent electric vehicles using proportional_integral_derivative control 16. The futuristic trends for modern electric vehicles 17. Environmental sustainability and carbon footprint reduction through artificial intelligence-enabled energy management in electric vehicles
Les mer
Provides fundamental knowledge and practical strategies in AI opportunities for graduate students, researchers, and engineers in energy system design
Supports fundamental understanding of artificial intelligence and its opportunities for energy system specialists Collects the real-world experiences of global experts Enables practical implementation of artificial intelligence strategies that support renewable energy integration across energy systems, markets, and grids
Les mer

Produktdetaljer

ISBN
9780443238147
Publisert
2024-05-23
Utgiver
Vendor
Elsevier - Health Sciences Division
Vekt
450 gr
Høyde
229 mm
Bredde
152 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
550

Redaktør
Tanwar, Sudeep

Biographical note

Dr. Aparna Kumari is an Assistant Professor in the Dept. of Computer Science and Engineering at the Institute of Technology, Nirma University, India. She was listed among the top 2% most influential researchers globally by Stanford University in 2021, 2022, and 2023 and was also awarded the Shri Pralhad P Chhabria Award – Runner Up for Best Female Professional (Early Career) in 2023. Her research interests include smart grid technologies, blockchain, Artificial Intelligence, quantum computing, electric vehicles, virtual and augmented reality, cybersecurity, and IoT. She is currently serving as a reviewer for the IEEE Internet of Things Journal, Multimedia Tools and Applications (Springer), Sensors (MDPI), the Journal of Information Security and Applications (Elsevier), and IEEE Network. She is a member of the Program/Technical Committee on UPCON2020, IC4S-2021, IC4S-2022, and EPTL2022, as well as of IEEE Women in Engineering. Sudeep Tanwar is a full Professor at Nirma University, India, where he also leads the ST Research Laboratory. He is a Visiting Professor with Jan Wyzykowski University, Poland and the University of Pitesti, Romania. He has edited 20 books and authored 4 books and more than 300 technical articles, for national and international peer-reviewed journals and conferences. He initiated the research field of blockchain technology adoption in various verticals in 2017. His research interests include blockchain technology, wireless sensor networks, fog computing, smart grid, and the IoT. He is a member of the Technical Committee on Tactile Internet of IEEE Communication Society. He has been awarded Best Research Paper Awards from IEEE IWCMC-2021, IEEE ICCCA-2021, IEEE GLOBECOM 2018, IEEE ICC 2019, and Springer ICRIC-2019. He has won Dr KW Wong Annual Best Paper Prize (with 750 USD) for 2021 sponsored by Elsevier (publishers of JISA).

Relaterte produkter