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bokomslag Renewable-to-Vehicle Smart Charging
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  • 440 sidor
  • 2026
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
  • Författare: Saleh Aghajan-Eshkevari, Sasan Azad, Morteza Nazari-Heris, Miadreza Shafie-Khah, Hamdi Abdi
  • Format: Pocket/Paperback
  • ISBN: 9780443366840
  • Språk: Engelska
  • Antal sidor: 440
  • Utgivningsdatum: 2026-06-01
  • Förlag: Elsevier Science