Renewable-to-Vehicle Smart Charging
eBook - ePub

Renewable-to-Vehicle Smart Charging

Planning, Modeling, and Load Forecasting for Grid Integration

  1. 678 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Renewable-to-Vehicle Smart Charging

Planning, Modeling, and Load Forecasting for Grid Integration

About this book

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. - Builds from foundational concepts to specific, practical methodologies - Leverages cutting-edge technologies from machine learning and the Internet-of-Things to blockchain - Demonstrates real-world applications through case studies and detailed calculations

Table of contents

  1. Title of Book
  2. Chapter One. Concepts, technical challenges, emerging trends, and opportunities in the interconnected smart renewable-to-vehicle (R2V) ecosystem
  3. Chapter Two. Bibliometric analysis and case study investigation of renewable-based electric vehicle charging: Trends, advances, and future directions
  4. Chapter Three. The effects of electric vehicles integration on power quality: A review of challenges, solutions, and opportunities
  5. Chapter Four. Optimizing renewable-to-vehicle smart charging with machine learning and digital twin
  6. Chapter Five. IoT-enabled real-time load forecasting for renewable-to-vehicle smart charging
  7. Chapter Six. Renewable-to-vehicle (R2V) smart charging for enhanced charging resiliency across operational conditions
  8. Chapter Seven. A survey on energy trading mechanisms and electric vehicles market interactions for renewable-to-vehicle (R2V) smart charging ecosystem
  9. Chapter Eight. The application of fuel cell vehicles in hydrogen-based renewable systems
  10. Chapter Nine. Reliability-aware reinforcement learning for renewable-to-vehicle smart charging
  11. Chapter Ten. Renewable-based virtual power plant-enabled smart charging of electric vehicles for greenhouse gas emissions reduction in the distribution network
  12. Chapter Eleven. Smart energy management systems for supporting zero-emission electric vehicles: Challenges and future prospects in renewable energy integration
  13. Chapter Twelve. Wind-to-vehicle (W2V): Unlocking the synergy between wind energy and EV flexibility
  14. Chapter Thirteen. A comprehensive review of algorithms for optimizing the location and sizing of charging stations for renewable-to-vehicle (R2V) charging
  15. Chapter Fourteen. Self-sufficient smart hangar with mobile vertical metallic park for EVs: A 3D approach to urban charging and renewable energy integration
  16. Chapter Fifteen. The effect of renewable-to-vehicle (R2V) smart charging on greenhouse gas emission reduction
  17. Index

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Yes, you can access Renewable-to-Vehicle Smart Charging by Saleh Aghajan-Eshkevari,Sasan Azad,Morteza Nazari-Heris,Miadreza Shafie-khah,Hamdi Abdi in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over 1.5 million books available in our catalogue for you to explore.