Hydrogen yield prediction for supercritical water gasification based on generative adversarial network data augmentation

•A sample generation method integrating generative adversarial network is proposed.•The proposed method can generate great supercritical water gasification samples.•The hybrid strategy improves the generated gasification sample quality.•Hydrogen yield prediction accuracy is improved by adding generated data.