Trading in Local Energy Markets and Energy Communities

Miadreza Shafie-khah received his MSc and first PhD in electrical engineering from Tarbiat Modares University, Tehran, Iran. He received his second PhD in electromechanical engineering and first postdoc from the University of Beira Interior (UBI), Covilha, Portugal. He received his second postdoc from the University of Salerno, Salerno, Italy. Currently, he is a Professor (tenure track) at the University of Vaasa, Vaasa, Finland. He is an Editor of the IEEE Transactions on Sustainable Energy, an Associate Editor of the IEEE Systems Journal, an Associate Editor of the IEEE Transactions on Intelligent Transportation Systems, an Associate Editor of the IEEE Access, an editor of the IEEE Open Access Journal of Power and Energy (OAJPE), an Associate Editor for IET-RPG, the guest Editor-in-Chief of the IEEE OAJPE, the guest editor of IEEE Transactions on Cloud Computing, and the guest editor of more than 14 Special Issues.

Amin Shokri Gazafroudi received the B.Sc. and M.Sc. degrees in power electrical engineering, in 2011 and 2013, respectively. He also received the Ph.D. degree in computer science from the University of Salamanca, Salamanca, Spain, in 2019. Afterward, he was a Postdoctoral Researcher involved in CoNDyNet2 project from Oct. 2019 to Dec. 2021 with the Energy System Modeling Research Group, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany. He is currently Project Manager at Stromdao GmbH, Germany, to coordinate research and development national and international projects in smart grids, energy communities, local energy and flexibility markets, peer-to-peer (P2P) energy transactions, blockchain technology, and electric vehicle (EV) charging strategies. His research interests include power system and electricity market modeling, power ?ow and contingency analysis, local energy and ?exibility markets design, peer-to-peer energy trading in smart grids, market-based coordination mechanisms, decentralized energy management systems, bidding strategies for autonomous home energy management systems, planning and operation of integrated energy systems, and application of machine learning algorithms on price and demand forecasting.