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

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. Supports fundamental understanding of artificial intelligence and its opportunities for energy system specialistsCollects the real-world experiences of global expertsEnables practical implementation of artificial intelligence strategies that support renewable energy integration across energy systems, markets, and grids INDICE: 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

• ISBN: 978-0-443-23814-7
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 550
• Fecha Publicación: 23/05/2024
• Nº Volúmenes: 1
• Idioma: Inglés