Smart Prosumers Within Smart Grids: Fundamentals, Methodologies and Potential for Advancing the Energy Transition

• Examines the essential differences between prosumers and the traditional energy consumer/producer dichotomy
• Offers technical solutions to the integration of prosumers for improved reliability of renewable energy
• Closely analyzes the costs and benefits of approaches and provides access to GAMS code for modeling and simulation

Ahmad Rezaee Jordehi is an Associate Professor in the Department of Electrical Engineering, Rasht Branch, Islamic Azad University, Iran. An experienced researcher in electrical power systems, smart grids, and renewable energy technologies, he has taught courses on smart grids and renewable energy to graduate students for several years, and his work has been cited over 5,500 times. He received his B.Sc. and M.Sc. degrees in electrical power engineering from Shahid Chamran University, Iran, in 2002 and 2005 respectively, and received his PhD in electrical power engineering from University Putra Malaysia, Selangor, Malaysia, in 2014. Dr. Rezaee Jordehi is an editorial board member of IET Renewable Power Generation and the International Journal of Metaheuristics, and is an IEEE member.

Seyed Amir Mansouri is a Researcher based at Comillas Pontifical University, Spain. He received Bachelor, MS, and PhD degrees in Electrical Engineering in 2014, 2017 and 2020 respectively, all from Azad University, in Iran. His primary research interests include renewable energy technologies, smart grids, and microgrids.

Marco Tostado-Véliz is an Assistant Professor in the Department of Electrical Engineering at the University of Jaén, Spain. He received a Bachelors degree in Electrical Engineering (with Hons.) in 2016 and Masters degree in 2017, both from the University of Seville, Spain, and obtained his PhD degree in 2020 from the University of Jaén, Spain. His primary research interests include smart grids, numerical methods for power system analysis, optimization of energy communities, multi-energy systems modelling, and computing tools for home energy management systems.