Jiang, P., Dong, J., & Huang, H. (2019). Forecasting China’s Renewable Energy Terminal Power Consumption Based on Empirical Mode Decomposition and an Improved Extreme Learning Machine Optimized by a Bacterial Foraging Algorithm. Energies (Basel), 12(7), 1331. https://doi.org/10.3390/en12071331
Chicago-Zitierstil (17. Ausg.)Jiang, Peng, Jun Dong, und Hui Huang. "Forecasting China’s Renewable Energy Terminal Power Consumption Based on Empirical Mode Decomposition and an Improved Extreme Learning Machine Optimized by a Bacterial Foraging Algorithm." Energies (Basel) 12, no. 7 (2019): 1331. https://doi.org/10.3390/en12071331.
MLA-Zitierstil (9. Ausg.)Jiang, Peng, et al. "Forecasting China’s Renewable Energy Terminal Power Consumption Based on Empirical Mode Decomposition and an Improved Extreme Learning Machine Optimized by a Bacterial Foraging Algorithm." Energies (Basel), vol. 12, no. 7, 2019, p. 1331, https://doi.org/10.3390/en12071331.