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Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems

Fundamentals, Technologies, and Solutions

Specificaties
Paperback, blz. | Engels
Elsevier Science | e druk, 2024
ISBN13: 9780443238147
Rubricering
Elsevier Science e druk, 2024 9780443238147
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Samenvatting

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.

Specificaties

ISBN13:9780443238147
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

<p>Part I<br>Introduction to artificial intelligence and electric vehicles in smart grid systems<br> <br>1. Introduction to artificial intelligence-empowered electric vehicles in smart grids<br>2. Communication technologies for electric vehicles<br>3. Robustness and resilience of artificial intelligence enabled electric vehicles: &ldquo;a safety and security perspective&rdquo;<br>4. Applications of AI-empowered electric vehicles for voice recognition in Asian and Austronesian languages<br> <br>Part II<br>Energy management for artificial intelligence empowered modern electric vehicles<br> <br>5. Demand response management using artificial intelligence-empowered electric vehicles<br>6. Energy prediction for future energy supply in<br>electrical vehicles<br>7. Optimizing the integration of renewable energy source and plug-in electric vehicles for economic emission load dispatch through soft computing techniques<br>8. Battery-operated electric vehicles and plug-in hybrid electric vehicles<br> <br>Part III<br>Energy trading for artificial intelligence empowered modern electric vehicles<br> <br>9. Peer-to-peer energy trading using renewable energy sources and electric vehicles<br>10. Smart energy management using vehicle-to-vehicle and vehicle-to-everything<br>11. Vehicle-to-vehicle power transfer<br>12. Cyber-security challenges for artificial intelligence empowered electric vehicles—analysis and current status<br> <br>Part IV<br>Case studies and futuristic trends for artificial intelligence-enabled electric vehicles<br> <br>13. Revitalizing traffic control: the synergy of fog computing and Internet of Things for an intelligent traffic light system for electric vehicles<br>14. On fuzzy completely irresolute on smart decision-making for electric vehicle systems<br>15. Front-in parking method for intelligent electric vehicles using proportional_integral_derivative control<br>16. The futuristic trends for modern electric vehicles<br>17. Environmental sustainability and carbon footprint reduction through artificial intelligence-enabled energy management in electric vehicles</p>

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        Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems