A deep convolutional generative adversarial network for data imputation: Application to wind speed time series

• Published in: Advances in Wind Engineering Vol. 2; no. 2; p. 100054
• Main Authors: Liu, Kejun, Cai, Yuan
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2025
• Subjects: Convolutional neural networks; Deep learning; Generative adversarial network; Missing data imputation; Wind speed time series; Deep learning; Missing data imputation; Wind speed time series; Convolutional neural networks; Generative adversarial network

Accurate and reliable wind speed data are essential across diverse wind engineering applications, such as maximizing the efficiency and effectiveness of wind energy utilization. However, the continuity of wind speed monitoring is often disrupted by missing data due to sensor malfunctions, adverse en...