Data-driven wake models have recently shown a high accuracy in reproducing wake
characteristics from numerical data sets. This study used wake measurements from a lidar …

In the context of data-driven deep learning, employing multi-fidelity methods for swift and
precise wake field prediction is a novel attempt. Current Multi-Fidelity Neural Networks …

Wind turbines are a crucial part of renewable energy generation, and their reliable and
efficient operation is paramount in ensuring clean energy availability. However, the bearings …

This thesis addresses the critical issue of underestimated wake effects between neighboring
windparks by developing efficient long-distance wind farm flow models using Convolutional …