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model is employed to forecast renewable energy availability, providing crucial insights for the design optimization process. The ML-assisted operation tackles the dynamic optimization of parallel energy
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 3 months ago
to attract external funding. The employee’s principal research responsibilities will be performing research on AI and machine learning concepts and other data analysis techniques applied to energy forecasting
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