Researchers Use Convolutional Neural Networks to Predict Airflow Characteristics in the Aerodynamic Profiles of High-Power Wind Turbines and Reduce Computational Time in Four Orders of Magnitude

Wind energy has become a notable source of electricity generation to create a cleaner and more sustainable energy paradigm. However, the performance of wind turbines today needs to be improved if they compete with traditional energy sources. Installing flow control devices on airfoils is one method for achieving this. These flow control mechanisms are installed […]

The post Researchers Use Convolutional Neural Networks to Predict Airflow Characteristics in the Aerodynamic Profiles of High-Power Wind Turbines and Reduce Computational Time in …

ai paper summary airflow applications artificial intelligence computational convolutional neural network convolutional neural networks deep learning editors pick networks neural network neural networks power profiles reduce researchers staff tech news technology time