Investigation of Advanced Machine Learning Methods for Wind Power Prediction

The thesis explored the potential of the new generation machine learning methods for accurately predicting wind power. State of art Ensemble learning, transfer learning, and deep learning methods are explored. Experimental results demonstrated promising prediction results.