Physics-Aware Machine Learning for Integrated Energy Systems Management

Mohammadreza Daneshvar is a Research Associate with the Smart Energy Systems Lab in the Department of Electrical and Computer Engineering at the University of Tabriz. He is the editor of more than 40 journal and conference papers in the field of multi-energy systems, grid modernization, transactive energy, and optimizing the multi-carrier energy grids. He is the author and editor of three books with Springer, Elsevier, and Wiley-IEEE. He serves as an active reviewer with IEEE, Elsevier, Springer, Wiley, Taylor & Francis, and IOS Press, and was ranked among the top 1% of reviewers in Engineering and Cross-Field based on Publons global reviewer database. His research interests include smart grids, transactive energy, energy management, renewable energy sources, multi-carrier energy systems, grid modernization, electrical energy storage systems, microgrids, energy hubs, machine learning and deep learning, blockchain technology, and optimization techniques.

Behnam Mohammadi-Ivatloo, Ph.D., is a Professor with the Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. He was previously a Senior Research Fellow at Aalborg University, Denmark. Before joining the University of Tabriz, he was a research associate at the Institute for Sustainable Energy, Environment and Economy at the University of Calgary. He obtained MSc and Ph.D. degrees in electrical engineering from the Sharif University of Technology. His main research interests are renewable energies, microgrid systems, and smart grids. He has authored and co-authored more than 200 technical publications in his domain of interest, more than 30 book chapters, and 10 books.

Kazem Zare PhD, SMIEEE received the B.Sc. and M.Sc. degrees in electrical engineering from University of Tabriz, Tabriz, Iran, in 2000 and 2003, respectively, and Ph.D. degree from Tarbiat Modares University, Tehran, Iran, in 2009. Currently, he is an Associate Professor of the Faculty of Electrical and Computer Engineering, University of Tabriz. His research areas include distribution networks operation and planning, power system economics, microgrid and energy management.

Jamshid Aghaei is currently a Full Professor with the School of Engineering and Technology at Central Queensland University, Australia. His research interests include smart grids, renewable energy systems, electricity markets, and power system operation, optimization, and planning. He was a Guest Editor of the Special Section on “Industrial and Commercial Demand Response of the IEEE Transactions on Industrial Informatics, in November 2018, and the Special Issue on “Demand Side Management and Market Design for Renewable Energy Support and Integration of the IET Renewable Power Generation, in April 2019. He is an Associate Editor of the IEEE Transactions on Smart Grid, IEEE Systems Journal, IEEE Transactions on Cloud Computing, IEEE Open Access Journal of Power and Energy, and IET Renewable Power Generation, and a Subject Editor of IET Generation Transmission and Distribution.