Dr LIWENBO ZHANG's Outputs (2)

Transfer learning in very-short-term solar forecasting: Bridging single site data to diverse geographical applications (2024)
Journal Article
Zhang, L., Wilson, R., Sumner, M., & Wu, Y. (2025). Transfer learning in very-short-term solar forecasting: Bridging single site data to diverse geographical applications. Applied Energy, 377, Article 124353. https://doi.org/10.1016/j.apenergy.2024.124353

Over the past decade, the rapid growth of solar energy penetration has posed significant challenges for grid balancing and scheduling, heightening the need for accurate and efficient short-term solar forecasting. While deep learning models have shown... Read More about Transfer learning in very-short-term solar forecasting: Bridging single site data to diverse geographical applications.

Advanced multimodal fusion method for very short-term solar irradiance forecasting using sky images and meteorological data: A gate and transformer mechanism approach (2023)
Journal Article
Zhang, L., Wilson, R., Sumner, M., & Wu, Y. (2023). Advanced multimodal fusion method for very short-term solar irradiance forecasting using sky images and meteorological data: A gate and transformer mechanism approach. Renewable Energy, 216, Article 118952. https://doi.org/10.1016/j.renene.2023.118952

Cloud dynamics are the main factor influencing the intermittent variability of short-term solar irradiance, and therefore affect the solar farm output. Sky images have been widely used for short-term solar irradiance prediction with encouraging resul... Read More about Advanced multimodal fusion method for very short-term solar irradiance forecasting using sky images and meteorological data: A gate and transformer mechanism approach.