Machine learning-based prediction of critical load events in airborne wind energy systems
Abstract. Predicting and avoiding critical load events is crucial for the reliable autonomous operation of airborne wind energy (AWE) systems. Such events can lead to actuator saturation, loss of steering authority, and increased structural stresses, eventually resulting in long-term degradation of the kite, tether, an...
Monika Pasquali, Oriol Cayon, Spilios Theodoulis et al.
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