1. Revenue prediction for integrated renewable energy and energy storage system using machine learning techniques. (June 2022) Authors: Lin, Yingqian; Li, Binghui; Moiser, Thomas M.; Griffel, L. Michael; Mahalik, Matthew R.; Kwon, Jonghwan; Alam, S. M. Shafiul Journal: Journal of energy storage Issue: Volume 50(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗