This project aims at characterize and categorize wind power fluctuations by using time-frequency information provided by a wavelet transformation technique to assist TSOs on the operation of power systems with large penetration of wind generation.
This project aims at characterize and categorize wind power fluctuations by using time-frequency information provided by a wavelet transformation technique to assist TSOs on the operation of power systems with large penetration of wind generation.
Research, development, and innovation institution focused on Robotic Systems and Information Processing, since 1992.