Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems
Elsevier - Health Sciences Division (Verlag)
978-0-443-23814-7 (ISBN)
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.
Dr. Aparna Kumari, associated with the Department of Computer Science and Engineering at Nirma University (India), has over 17 years of teaching and research experience in areas such as artificial intelligence, smart grids, blockchain, quantum computing, electric vehicles, IoT, and cybersecurity. She has published extensively in leading journals like IEEE Internet of Things Journal, IEEE Network, and Computer Communications, and has edited books with Springer and Elsevier. Recognized among the top 2% most influential researchers worldwide by Stanford University for five years, she received the prestigious Shri Pralhad P. Chhabria Award – Runner Up for Best Female Professional (Early Career) in 2023 and the EARG Award for Excellence in Research and Development in 2024. Dr. Kumari serves as an editor for reputed journals, conference organizing and session chair, and committee member, contributing significantly to the global research community. Her work continues to bridge cutting-edge technologies with sustainable and secure solutions for future energy and mobility systems. 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).
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
| Erscheinungsdatum | 01.06.2024 |
|---|---|
| Verlagsort | Philadelphia |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 850 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Fahrzeugbau / Schiffbau | |
| ISBN-10 | 0-443-23814-6 / 0443238146 |
| ISBN-13 | 978-0-443-23814-7 / 9780443238147 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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