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- Computing and Processing
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Ibrahim Alsaleh
Affiliation
Department of Electrical Engineering, College of Engineering, University of Hail, Hail, Saudi Arabia
Topic
Optimal Power Flow,Power System,Solar Power,Objective Function,Optimization Algorithm,Power Generation,Renewable Energy,Renewable Energy Sources,Renewable Sources,Wind Power,Benchmark Functions,Carbon Tax,Distributed Energy Resources,Distribution System,Electric Power,Electric Vehicles,Log-normal Function,Modern Power Systems,Optimal Power Flow Analysis,Optimization Problem,Plug-in Electric Vehicles,Positive Semidefinite Matrix,Power Flow Analysis,Power Flow Problem,Power Grid,Power Network,Probability Distribution Function,Renewable Energy Resources,Semidefinite Programming,Solar Photovoltaic,Test System,Thermal Power Plants,Thermal Units,Total Cost,Voltage Difference,Weibull Distribution,AC Optimal Power Flow,Analysis Of Variance Test,Boxplots,Control Variables,Convergence Rate,Convex Relaxation,Cost Coefficient,Deep Neural Network,Deep Reinforcement Learning,Deep Reinforcement Learning Agent,Deep Reinforcement Learning Framework,Demand Flexibility,Direct Costs,Distribution System Operator,
Biography
Ibrahim Alsaleh (Member, IEEE) received the B.S. degree in electrical engineering from the University of Ha’il, Hail, Saudi Arabia, in 2012, and the M.S. and Ph.D. degrees in electrical engineering from the University of South Florida, Tampa, FL, USA, in 2016 and 2020, respectively. He is currently an Assistant Professor with the Department of Electrical Engineering, University of Ha’il. His current research interest includes optimization and reinforcement learning in smart power grids.