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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.
This book begins by building foundational knowledge for the reader, covering 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 the cyber-security 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, Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems will provide 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 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
Language
Place of publication
Publishing group
Elsevier Science & Techn.
File size
ISBN-13
978-0-443-23815-4 (9780443238154)
Schweitzer Classification
Part IIntroduction to artificial intelligence and electric vehicles in smart grid systems 1. Introduction to artificial intelligence-empowered electric vehicles in smart grids2. Communication technologies for electric vehicles3. 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 IIEnergy management for artificial intelligence empowered modern electric vehicles 5. Demand response management using artificial intelligence-empowered electric vehicles6. Energy prediction for future energy supply inelectrical vehicles7. Optimizing the integration of renewable energy source and plug-in electric vehicles for economic emission load dispatch through soft computing techniques8. Battery-operated electric vehicles and plug-in hybrid electric vehicles Part IIIEnergy trading for artificial intelligence empowered modern electric vehicles 9. Peer-to-peer energy trading using renewable energy sources and electric vehicles10. Smart energy management using vehicle-to-vehicle and vehicle-to-everything11. Vehicle-to-vehicle power transfer12. Cyber-security challenges for artificial intelligence empowered electric vehicles-analysis and current status Part IVCase 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 vehicles14. On fuzzy completely irresolute on smart decision-making for electric vehicle systems15. Front-in parking method for intelligent electric vehicles using proportional_integral_derivative control16. The futuristic trends for modern electric vehicles17. Environmental sustainability and carbon footprint reduction through artificial intelligence-enabled energy management in electric vehicles