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- Computing and Processing
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- Power, Energy and Industry Applications
- Signal Processing and Analysis
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Sergio A. Dorado-Rojas
Affiliation
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Topic
Power System,Power Grid,Analog-to-digital Converter,Forced Oscillation,Bus Voltage,Convolutional Neural Network,Convolutional Neural Network Model,Distributed Energy Resources,Edge Devices,Free Oscillation,Graphics Processing Unit,Learning Algorithms,Machine Learning Models,Neural Network,Penetration Level,Phasor Measurement Units,Signal Propagation,Software Development Kit,Time Series,Time Series Data,Wind Power,Adverse Conditions,Analog Signal,Angular Control,Angular Domain,Angular Frequency,Angular Position,Angular Space,Aperiodic,Application Programming Interface,Autocorrelation Function,Autoregressive Model,Base Case,CNN Model,Changes In Frequency,Characteristic Polynomial,Circuit Breaker,Communication Network,Constant Current,Control Design,Convolution Operation,Convolutional Neural Network Architecture,Convolutional Neural Network Training,Correction Process,Corrective Actions,Current Control,Current Difference,Current Flow,Current Loop,Deep Neural Network,
Biography
Sergio A. Dorado-Rojas (Graduate Student Member, IEEE) received the B.Sc. degree in electrical engineering and the M.Eng. degree in industrial automation from the National University of Colombia, Bogotá, Colombia, in 2017 and 2018, respectively, and the M.Sc. degree in electrical engineering and the M.Sc. degree in computer and systems engineering from Rensselaer Polytechnic Institute, Troy, NY, USA, in 2020 and 2022, respectively. He is currently pursuing the Ph.D. degree with Georgia Institute of Technology, Atlanta, GA, USA. His research interests include controls, signal processing, and optimization for power systems.