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.