Short-term prediction of wind power and its ramp events based on semi-supervised generative adversarial network

•Wind power prediction problem is formulated as a min-max game based on GAN.•Semi-supervised regression is used for the point prediction of wind power.•A double objective model is designed for data augmentation and feature extraction.•A self-tuning strategy is proposed for forecasting of wind power ramp events.