Renewable-to-Vehicle Smart Charging
Planning, Modeling, and Load Forecasting for Grid Integration
- 1st Edition - July 1, 2026
- Latest edition
- Editors: Saleh Aghajan-Eshkevari, Sasan Azad, Morteza Nazari-Heris, Miadreza Shafie-khah, Hamdi Abdi
- Language: English
Renewable-to-Vehicle Smart Charging: Planning, Modeling, and Load Forecasting for Grid Integration offering a multidisciplinary approach to integrating electric vehicle chargi… Read more
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.
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
Graduate and upper-level undergraduate students, researchers, and engineers working on sustainable energy transport or electric vehicle charging integration to the grid
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
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
- Edition: 1
- Latest edition
- Published: July 1, 2026
- Language: English
SA
Saleh Aghajan-Eshkevari
Saleh Aghajan-Eshkevari is a PhD researcher in the Department of Electrical Engineering of Shahid Beheshti University, Iran. His research interests include power system optimization, integration of renewable energy resources into the power grid, electric vehicles, and smart grid.
Affiliations and expertise
PhD Candidate, Department of Electrical Engineering, Amirkabir University of Technology, IranSA
Sasan Azad
Sasan Azad visiting professor at the Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, Iran. His main areas of interest are the security and voltage stability of power systems, smart grids, and electric vehicles.
Affiliations and expertise
PhD Candidate, Department of Electrical Engineering & Electrical Network Research Institute, Shahid Beheshti University, IranMN
Morteza Nazari-Heris
Morteza Nazari-Heris is currently an Assistant Professor of Electrical Engineering at East Carolina University, USA. Previously he was an Assistant Professor of Electrical Energy Systems at Lawrence Technological University, USA. Prof. Nazari-Heris is an expert in transportation electrification and energy systems with a focus on developing tools for the intelligent, sustainable, and resilient transportation system sector and energy sector, infrastructure systems, communities, and cities.
Affiliations and expertise
Assistant Professor, Department of Electrical Engineering, East Carolina University, USAMS
Miadreza Shafie-khah
Miadreza Shafie-khah is the Head of Research and Innovation Division at Nowocert, Dublin, Ireland, and a visiting professor at the Royal Melbourne Institute of Technology, Australia. He is the editor-in-chief or associate editor of several prestigious journals including the IEEE Transactions on Sustainable Energy and the IEEE Transactions on Intelligent Transportation Systems. His main research interest is in demand response, decentralized electricity markets, and electric vehicles.
Affiliations and expertise
Professor and Scientific Director, Energy Business eMBA, University of Vaasa, FinlandHA
Hamdi Abdi
Hamdi Abdi is currently a full Professor with the Electrical Engineering Department of Razi University, Iran. His main research interests include power system operation and planning, smart energy systems, uncertainty modelling and management, energy hubs, energy efficiency, and demand response.
Affiliations and expertise
Professor, Electrical Engineering Department, Razi University, Iran