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Ahmad Abuelrub
Also published under:Ahmad AbuElrub
Affiliation
Electrical Engineering Department, Jordan University of Science and Technology, Irbid, Jordan
Topic
Photovoltaic System,Electric Power,Renewable Energy,Electric Vehicles,Levelized Cost Of Electricity,Renewable Energy Resources,Basic Events,Capital Costs,Copper Loss,Economic Feasibility,Electric Vehicles Battery,Electric Vehicles Charging,Electrical Energy,Energy Demand,Energy Source,Energy Storage Systems,Fault Tree Analysis,Important Measure,Optimization Algorithm,Photovoltaic Modules,Photovoltaic Panels,Photovoltaic Plant,Power Demand,Probability Of Events,Probability Of Failure,Random Number,Reliable Objective,Solar Panels,State Of Charge,System Failure,System Reliability,Ac Load,Acceleration Coefficients,Amount Of Capacity,Annual Demand,Annual Energy,Annual Energy Consumption,Annual Profit,Annual Savings,Ant Colony Optimization,Automated Guided Vehicles,Automatic System,Autonomous Electric Vehicles,Autonomous Vehicles,Available Energy Sources,Average Daily Consumption,Base Case,Battery Capacity,Battery Management System,Battery System,
Biography
Ahmad Abuelrub (Member, IEEE) was born in Kuwait, in January 4, 1987. He received the B.Sc. degree in electrical engineering from the Jordan University of Science and Technology, Irbid, Jordan, in 2010, and the Ph.D. degree in electrical engineering from Texas A&M University, College Station, TX, USA, in 2016.
He is currently an Associate Professor with the Electrical Engineering Department, Jordan University of Science and Technology. He is a Professional Engineer in Jordan. His current research interests include reliability modeling of the power system, sizing techniques for renewable energy systems, and advanced optimization for power system planning and operation.
He is currently an Associate Professor with the Electrical Engineering Department, Jordan University of Science and Technology. He is a Professional Engineer in Jordan. His current research interests include reliability modeling of the power system, sizing techniques for renewable energy systems, and advanced optimization for power system planning and operation.