5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 5 cited
Knowledge distillation with error-correcting transfer learning for wind power prediction
Hao Chen
Wind power prediction, especially for turbines, is vital for the operation, controllability, and economy of electricity companies. Hybrid methodologies combining advanced data scie…
cs.LG2022
Cluster-based ensemble learning for wind power modeling with meteorological wind data
Hao Chen
Optimal implementation and monitoring of wind energy generation hinge on reliable power modeling that is vital for understanding turbine control, farm operational optimization, and…