Mohsen Abedi

Also published under:Mehrdad Abedi, M. Abedi, Mehradad Abedi, M. R. Abedi

Affiliation

Department of Information and Communications Engineering (DICE), Aalto University, Espoo, Finland

Topic

Power System,Deep Learning,Machine Learning,Optimization Problem,Power Quality,Smart Grid,Accurate State Estimation,Achievable Rate,Activity Coefficient,Amount Of Consumption,Artificial Neural Network,Average Execution Time,Boost Converter,Cell Voltage,Channel Gain,Classical Estimation,Controlled Manner,Conventional Measures,Cost Constraints,Cost Reduction,Current Difference,Current Source,Days Of Training,Dcdc Converter,Decoding Cost,Decoding Scheme,Deep Forest,Deep Neural Network,Demand Response Programs,Demand-side Management,Diagonal Matrix,Distributed Energy Resources,Effect Of Placement,Electric Current,Electric Vehicles,Electrical Energy,Electrical Energy Storage,Energy Capacity,Energy Consumption,Energy Deficit,Energy Demand,Energy Harvesting,Energy Harvesting Model,Energy Management,Energy Management Strategy,Energy Management System,Energy Source,Energy Storage Systems,Energy Storage Technologies,Energy Supply,

Biography

Mehrdad Abedi received the B.Sc. degree from the University of Tehran, Tehran, Iran, in 1970, the M.Sc. degree from Imperial College, University of London, London, U.K., in 1973, and the Ph.D. degree from Newcastle University, Newcastle upon Tyne, U.K., in 1977, all in electrical engineering.
He is currently a Professor of electrical engineering with Amirkabir University of Technology, Tehran, Iran.