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Machine Learning For Wind Power Generation Prediction from Turbine Data
By Clark Saben Faculty mentor: Dr. Desmond Villalba 2:00-2:50pm, HCC 329 Machine learning (ML) in physics has become a powerful tool for big data analysis in the last decade. ML offers an effective way to discover patterns from large input vectors when a suitable architecture is applied to a given data type. This work investigates…
