Missing data imputation for solar yield prediction using temporal multi-modal variational auto-encoder

• Main Authors: Shen, Meng, Zhang, Huaizheng, Cao, Yixin, Yang, Fan, Wen, Yonggang
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering::Computing methodologies; Solar Forecasting; Multimodal Learning
• Online Access: https://hdl.handle.net/10356/152999
• Institution: Nanyang Technological University

The accurate and robust prediction of short-term solar power generation is significant for the management of modern smart grids, where solar power has become a major energy source due to its green and economical nature. However, the solar yield prediction can be difficult to conduct in the real worl...