APA (7th ed.) Citation

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 Style (17th ed.) Citation

Jiang, Peng, Jun Dong, and 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 (9th ed.) Citation

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.