Renewable-to-Vehicle Smart Charging: Planning, Modeling, and Load Forecasting for Grid Integration offering a multidisciplinary approach to integrating electric vehicle charging needs into renewable-powered grids.
This book begins with an overview of fundamental technical challenges, tariff mechanisms, and successful implementation examples for renewable-to-vehicle smart charging. Subsequent chapters detail cutting-edge machine learning and Internet-of-Things techniques for load-forecasting and charging resilience, before guiding readers through planning considerations including energy trading methods, fuel-cell vehicles, charging points size and location, and uncertainty modeling.
Combining a step-by-step grounding in key challenges and opportunities with practical case studies in the latest ML and AI technologies, Renewable-to-Vehicle Smart Charging: Planning, Modeling, and Load Forecasting for Grid Integration will support students, researchers, and engineers in integrating electric vehicle charging to the renewable-based grids of the future.
1. Technical challenges, emerging trends, and opportunities for renewable-to-vehicle smart charging
2. Charging tariffs to incentivize renewable-to-vehicle smart charging: power market considerations
3. Successful implementation of renewable-to-vehicle smart charging
4. Machine learning techniques for vehicle load forecasting in renewable-to-vehicle smart charging
5. Internet-of-Things-based real-time vehicle load forecasting for renewable-to-vehicle smart charging
6. Renewable-to-vehicle smart charging for improving charging resiliency in different operation conditions
7. Analyzing different methods for energy trading and the interactions of electric vehicles with electricity markets in renewable-to-vehicle smart charging
8. The application of fuel cell vehicles in hydrogen-based renewable systems
9. Optimal location and sizing of renewable-based charging stations for renewable-to-vehicle smart charging
10. The effect of renewable-to-vehicle smart charging on greenhouse gas emission reduction
11. Modeling uncertainties and optimizing renewable-to-vehicle charging
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