Sun, S.; Fu, J.; Li, A.
A Compound Wind Power Forecasting Strategy Based on Clustering, Two-Stage Decomposition, Parameter Optimization, and Optimal Combination of Multiple Machine Learning Approaches. Energies 2019, 12, 3586.
https://doi.org/10.3390/en12183586
AMA Style
Sun S, Fu J, Li A.
A Compound Wind Power Forecasting Strategy Based on Clustering, Two-Stage Decomposition, Parameter Optimization, and Optimal Combination of Multiple Machine Learning Approaches. Energies. 2019; 12(18):3586.
https://doi.org/10.3390/en12183586
Chicago/Turabian Style
Sun, Sizhou, Jingqi Fu, and Ang Li.
2019. "A Compound Wind Power Forecasting Strategy Based on Clustering, Two-Stage Decomposition, Parameter Optimization, and Optimal Combination of Multiple Machine Learning Approaches" Energies 12, no. 18: 3586.
https://doi.org/10.3390/en12183586
APA Style
Sun, S., Fu, J., & Li, A.
(2019). A Compound Wind Power Forecasting Strategy Based on Clustering, Two-Stage Decomposition, Parameter Optimization, and Optimal Combination of Multiple Machine Learning Approaches. Energies, 12(18), 3586.
https://doi.org/10.3390/en12183586