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Description NREL is seeking a postdoc to design, train, and analyze the AI/ML and control algorithms for hybrid energy systems including industrial systems, building controls, and advanced energy systems
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Detection: Develop and implement algorithms for identifying oscillations in the grid and extracting important oscillation modes (frequency, damping, etc.). System Strength Analysis: Use system metrics like
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control algorithms in support of multi-investigator, interdisciplinary projects focused on the development of smart autonomous lab development and catalyst design for the conversion of renewable and waste
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PSCAD, RSCAD, PSSE, PSLF, and MATLAB/Simulink SimPowerSystems Computer programming (e.g., Python) and simulation automation scripting Experience with machine learning algorithms, especially deep
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or imaging experiments. Strong background in topics related to experimental error analysis, Gauge R&R, Six-Sigma or Statistical Process Control. Ability to design algorithms for automatic processing for large